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  Subjects -> ELECTRONICS (Total: 187 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 7)
Advances in Electronics     Open Access   (Followers: 90)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Power Electronics     Open Access   (Followers: 38)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 337)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 26)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 14)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 30)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 20)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 38)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 13)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 47)
China Communications     Full-text available via subscription   (Followers: 9)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 295)
ECTI Transactions on Computer and Information Technology (ECTI-CIT)     Open Access  
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access  
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 117)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 97)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 100)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 55)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 3)
EPJ Quantum Technology     Open Access   (Followers: 1)
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 207)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 99)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 80)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 49)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 72)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 71)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 58)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 26)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 42)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 78)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Energy Systems Integration     Open Access  
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 55)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 70)
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 13)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 11)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 11)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 3)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Hybrid Intelligence     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 16)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 10)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 25)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 11)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 32)
Journal of Electrical Bioimpedance     Open Access  
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 8)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 9)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 5)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 175)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 10)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 10)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 3)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 11)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 29)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Jurnal Teknologi Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 6)
Microelectronics and Solid State Electronics     Open Access   (Followers: 27)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 41)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal   (Followers: 1)
Networks: an International Journal     Hybrid Journal   (Followers: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
Open Journal of Antennas and Propagation     Open Access   (Followers: 9)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 2)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Revue Méditerranéenne des Télécommunications     Open Access  
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 56)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 78)
Solid State Electronics Letters     Open Access  
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 3)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 9)
Transactions on Electrical and Electronic Materials     Hybrid Journal  
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Ural Radio Engineering Journal     Open Access  
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Similar Journals
Journal Cover
Intelligent Transportation Systems Magazine, IEEE
Journal Prestige (SJR): 0.816
Citation Impact (citeScore): 4
Number of Followers: 13  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1939-1390
Published by IEEE Homepage  [191 journals]
  • [Calendar]
    • Authors: Martin Lauer;
      Abstract: Presents the CS society calendar of upcoming events and meetings.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Staff List
    • Pages: 4 - 6
      Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • ITS Is, and Has Been, a Beneficiary of "Digital Disruption" [Editor's
           Column]
    • Authors: Ljubo Vlacic;
      Pages: 4 - 5
      Abstract: Presents the introductory editorial for this issue of the publication.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • ITSS and Open Access Publications [Presidents' Message]
    • Authors: Miguel Angel Sotelo;
      Pages: 6 - 7
      Abstract: Presents the President’s message for this issue of the publication.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Emerging Mobility Systems [Guest Editorial]
    • Authors: Xiaopeng Shaw Li;Xiaobo Qu;Joseph Y.J. Chow;Monica Menendez;Zhen Sean Qian;
      Pages: 8 - 11
      Abstract: The articles in this special section focus on emerging and new mobile systems with capacities of big data processing and analytics, advanced vehicle technologies, and novel service paradigms are transforming our urban environment and life style. These innovations and breakthroughs have motivated researchers on Intelligent Transportation Systems (ITS) to expand the frontiers of ITS concepts and skillsets, to identify new opportunities and challenges in integrating emerging vehicle technologies and mobility services, and to produce theories, models, algorithms, field experiments and real world applications for establishing a unique ITS discipline. To this end, this special issue is focused on cutting edge ideas, knowledge, techniques, tools and applications in the broad areas on emerging mobility systems.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Understanding and Predicting Travel Time with Spatio-Temporal Features of
           Network Traffic Flow, Weather and Incidents
    • Authors: Shuguan Yang;Sean Qian;
      Pages: 12 - 28
      Abstract: Travel time on a route varies substantially by time of day and from day to day. It is critical to understand to what extent this variation is correlated with various factors, such as weather, incidents, events or travel demand level in the context of dynamic networks. This helps a better decision making for infrastructure planning and real-time traffic operation. We propose a data-driven approach to understand and predict highway travel time using spatio-temporal features of those factors, all of which are acquired from multiple data sources. The prediction model holistically selects the most related features from a highdimensional feature space by correlation analysis, principle component analysis and LASSO. We test and compare the performance of several regression models in predicting travel time 30 min in advance via two case studies: (1) a 6-mile highway corridor of I-270N in D.C. region, and (2) a 2.3-mile corridor of I-376E in Pittsburgh region. We found that some bottlenecks scattered in the network can imply congestion on those corridors at least 30 minutes in advance, including those on the alternative route to the corridors of study. In addition, real-time travel time is statistically related to incidents on some specific locations, morning/afternoon travel demand, visibility, precipitation, wind speed/gust and the weather type. All those spatiotemporal information together help improve prediction accuracy, comparing to using only speed data. In both case studies, random forest shows the most promise, reaching a root-mean-squared error of 16.6% and 17.0% respectively in afternoon peak hours for the entire year of 2014.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • An Automated Vehicle Fuel Economy Benefits Evaluation Framework Using
           Real-World Travel and Traffic Data
    • Authors: Lei Zhu;Jeffrey Gonder;Eric Bjarkvik;Mitra Pourabdollah;Bjorn Lindenberg;
      Pages: 29 - 41
      Abstract: Increasing automation is a consistent development trend in the automobile industry. However, real-world evaluation of the operational and energy consumption differences between automated vehicles and comparable manually driven vehicles has been limited. This study helps fill the information gap by comparing the operation and fuel economy of vehicles in adaptive cruise control (ACC) and non-ACC modes based on large-scale field test data collected by Volvo Car Corporation (Volvo Cars) from vehicles traveling on the designated "Drive Me" project road network in Gothenburg, Sweden. The test vehicles' travel data are classified by driving mode (ACC vs. non-ACC) and driving conditions, which refer to traffic speed and road grade in this study. The results from the data logging fleet are used to estimate the aggregate fuel consumption differences at the Drive Me road-network level for vehicles traveling in ACC vs. non-ACC mode based on appropriately weighting the total amount of travel that took place on the network under different driving conditions. At the ACC penetration levels observed in the field test data, vehicles tended to drive more smoothly in ACC mode than in non-ACC mode. The corresponding travel-weighted fuel consumption rate for vehicles in ACC mode was about 5%-7% lower than for vehicles in non-ACC mode when traveling at similar conditions. Sensitivity analyses impart confidence in this result, and in the future, the established evaluation framework could be used to objectively quantify potential on-road fuel consumption impacts from vehicles with even higher levels of automated driving capability.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Energy-Efficient Adaptive Cruise Control for Electric Connected and
           Autonomous Vehicles
    • Authors: Chaoru Lu;Jing Dong;Liang Hu;
      Pages: 42 - 55
      Abstract: This paper presented an energy-efficient adaptive cruise control, called Energy-Efficient Electric Driving Model (E3DM), for electric, connected, and autonomous vehicles (e-CAVs) in a mixed traffic stream. E3DM is able to maintain high energy efficiency of regenerative braking by adjusting the spacing between the leading and the following vehicles. Moreover, a power-based energy consumption model is proposed to estimate the on-road energy consumption for battery electric vehicles, considering the impact of ambient temperature on auxiliary load. Using the proposed energy consumption model, the impact of E3DM on vehicle energy consumption is investigated. In particular, single-lane vehicle dynamics in a traffic stream with a mixed of e-CAVs and human-driven vehicles are simulated. The result shows that E3DM outperforms existing adaptive cruise control (i.e. Nissan-ACC) and cooperative adaptive cruise control (i.e. Enhanced-IDM and Van Arem Model) strategies in terms of energy consumption. Moreover, higher market penetration of e-CAVs may not result in better energy efficiency of the entire fleet. The reason is that more e-CAVs in the traffic stream results in faster string stabilization which decreases the regenerative energy. Considering mix traffic streams with battery electric (BEVs) and internal-combustion engine (ICEVs) vehicles, the energy consumption of entire fleet reduces when the market penetration of BEV (contains both e-CAV and human-driven BEV) increases. A higher ratio of e-CAV to human-driven BEV results in higher energy efficiency.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Distributed Traffic Speed Control for Improving Vehicle Throughput
    • Authors: Yue Zu;Chenhui Liu;Ran Dai;
      Pages: 56 - 68
      Abstract: This article presents a real-time speed control strategy for vehicle throughput improvement on highway. Using Barron-Jensen/Frankowska (B-J/F) solution to Hamilton-Jacobi (HJ) Moskowitz function, we formulate a Convex Quadratic Optimization Problem (CQOP) solved by Quadratic Programming (QP). Unlike with previous investigation on optimal control of scalar conservation law, a distributed framework is constructed based on dual decomposition and subgradient method via networked Road Infrastructures (RIs). Instead of relying on complex RIs network for information collection, the distributed method only depends on local traffic information and iteratively approaches to feasible solutions constrained by flow consensus. For both uniform and non-uniform road conditions, the proposed distributed algorithm is verified to be able to improve the vehicle throughput, reduce traffic delay and alleviate congestion in simulation.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Low-Cost Road Traffic State Estimation System Using Time-Spatial Image
           Processing
    • Authors: Ekalux Ua-areemitr;Agachai Sumalee;William H.K. Lam;
      Pages: 69 - 79
      Abstract: Road traffic mobility can be described by its Level of Services (LoS). A major challenge in traffic state and LoS estimation is the limitation of observed traffic data. To derive the traffic state of a road network, a sensor network needs to be installed. Most stationary sensing techniques involve high investment in terms of the sensor installation, data communication and computational resources. This paper proposes a low-cost image processing system for road traffic state estimation using time-spatial image (TSI) processing. The TSI is an image processing technique for transforming a series of video images into a single image. Therefore, the TSI can reduce memory resources compared with the traditional methods. A camera can be exploited for traffic-state estimation through integration with TSI generating and processing modules. In addition, traffic state variables such as space-mean-speed, flow and density can be estimated. Empirical results are provided based on several experiments to show that TSI processing is a viable lowcost approach to traffic state estimation.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • An Optimal Game Approach for Heterogeneous Vehicular Network Selection
           with Varying Network Performance
    • Authors: Xiangmo Zhao;Xiaochi Li;Zhigang Xu;Ting Chen;
      Pages: 80 - 92
      Abstract: Most conventional heterogeneous network selection strategies applied in heterogeneous vehicular network regard the performance of each network constant in various traffic scenarios. This assumption leads such strategies to be ineffective in the real-world performance-changing scenarios. To solve this problem, we propose an optimal game approach for heterogeneous vehicular network selection under conditions in which the performance parameters of some networks are changing. Terminals attempting to switch to the network with higher evaluation is formulated as a multi-play non-cooperative game. Heterogeneous vehicular network characteristics are thoroughly accounted for to adjust the game strategy and adapt to the vehicular environment for stability and rapid convergence. A multi-play non-cooperative game model is built to formulate network selection. A probabilistic strategy is used to gradually drive players toward convergence to prevent instability. Furthermore, a system prototype was built at the Connected and Automated Vehicle Test bed of Chang'an University (CAVTest). Its corresponding test results indicate that the proposed approach can effectively suppress the ping-pong effect caused by massive handoffs due to varying network performance and thus well outperforms the single-play strategy.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Traffic Volume Estimation in Multimodal Urban Networks Using Cell Phone
           Location Data
    • Authors: Jiping Xing;Zhiyuan Liu;Chunliang Wu;Shuyan Chen;
      Pages: 93 - 104
      Abstract: This paper proposes a method to estimate multimodal traffic volume on urban road networks using cellphone location data. The study considers the fact that there can be more than one phone user in each driving vehicle. Firstly, a temporal and spatial method is used to distinguish whether the cellphone signals are sent by cellphones in running vehicles on urban roads. Secondly, a minimum spanning tree clustering method is proposed to calculate the number of commuters in each vehicle. Based on the proposed method, the various travel modes, including drive alone, carpooling, and bus, can be identified while their hourly traffic volume can be estimated. Finally, the predicted traffic volumes are compared with the actual values obtained from License Plate Recognition system. The experiment result shows that the proposed method can accurately estimate the hourly traffic volumes of different travel modes and the estimation errors of this method are within a reasonable range.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Demand Estimation for Aerial Vehicles in Urban Settings
    • Authors: Milos Balac;Amedeo R. Vetrella;Raoul Rothfeld;Basil Schmid;
      Pages: 105 - 116
      Abstract: The idea of flying has always fascinated mankind. A century ago it became reality when in 1914 the first commercial flight was offered. In recent times, many entities are planning, developing and testing aerial vehicles and systems that will move goods and people in urban scenarios. Consequently, the need to develop appropriate planning tools and to investigate the potentials for this kind of transportation is needed. In this paper we present a methodology for simulation and demand estimation for personal aerial vehicles (PAVs) in urban settings. The methodology is then utilized to analyze the impacts of PAVs with different vehicle and system parameters on the demand. The findings show that with higher automation and falling prices, PAVs have a potential to be an important transportation mode, by serving not only middistance trips, but also shorter trips in urban settings. The analysis also show that unlike for car and public transport service, vehicle parameters of PAVs have a substantial impact on the demand and turnover. Furthermore, an optimization procedure that minimizes fixed costs of the PAVs by minimizing the fleet size and variable costs by minimizing the empty kilometers of PAVs for the estimated demand in the region of Zurich, Switzerland, is proposed. Optimized service ensures that much wider range of possible vehicle concepts can be utilized to serve the demand.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • A Speed Control Method at Successive Signalized Intersections Under
           Connected Vehicles Environment
    • Authors: Yingrong Lu;Xiaotong Xu;Chuan Ding;Guangquan Lu;
      Pages: 117 - 128
      Abstract: A growing body of speed control methods for signalized intersections have been developed using V2I and V2V technology. However, limited efforts are made to reduce the vehicle fuel consumption and emissions during the driving process at successive signalized intersections. To fill the gaps, this paper proposed a novel speed control method for the successive signalized intersections under connected vehicles environment. Using the upcoming traffic signal phasing, timing information and the vehicle queues at the signalized intersection, vehicle speed was optimized to reduce the vehicle fuel consumption and emissions. To validate its effectiveness, a real-time simulation framework embodied the characteristics of the connected vehicles environment is conducted using the multi-agent technology. In different traffic flows, the fuel consumption, CO2 emissions and travel time based on the speed control method are compared with that of without speed control. The effectiveness of the proposed speed control method in different signal timing plan was also tested. Simulation results show that the proposed speed control method could reduce more than 18% fuel consumption and CO2 emissions and 9% travel time in the medium density of traffic flow, which is the best control effect.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Dynamic Cellular Learning Automata for Evacuation Simulation
    • Authors: Xin Ruan;Zeren Jin;Huizhao Tu;Yue Li;
      Pages: 129 - 142
      Abstract: Pedestrian behaviors are essential for the evolution of an evacuation process and the eventual evacuation time. Such behaviors are mainly determined by the information available to a pedestrian at a certain position. To obtain a more comprehensive base for sensible movement choices, a pedestrian is expected to extend the range of information acquirement, which can be reflected in spatial and temporal concepts. The existing models for evacuation simulations mainly address the extension of information in a spatial concept. In fact, a pedestrian is more likely to update his movement choice based on the experiences accumulated throughout the evacuation process, as defined by information extension in a temporal concept. This paper develops a model to achieve an adaptive choice-making process. Two learning automata are proposed to update the imitation preferences for certain pedestrians and to make decisions between independent movement and imitation. Sensitivity analyses are performed using several key parameters to understand the mechanism of the proposed model. The proposed model is compared with the floor field model in terms of evacuation time and process, showing a high performance in describing pedestrian movement characteristics at different stages of an evacuation process.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • How Does On-Demand Ridesplitting Influence Vehicle Use and Purchase
           Willingness' A Case Study in Hangzhou, China
    • Authors: Hongyu Zheng;Xiaowei Chen;Xiqun Michael Chen;
      Pages: 143 - 157
      Abstract: Shared mobility refers to the shared use of a motor vehicle, bicycle, or other low-speed transportation modes, which has significant influences on transportation systems. Among different types of shared mobility, ridesplitting is developing the most rapidly because of the emergence of transportation network companies. In this study, we present exploratory evidence of on-demand ridesplitting's impacts on the vehicle use and purchase willingness using the emerging ridesourcing real-world data (i.e., app-based, on-demand ride services like Uber and DiDi Chuxing) in Hangzhou, China. We explore ridesplitting users' travel habits and their transportation modal shift behavior if the ridesplitting services are unavailable, and how ridesplitting impacts the use of public transit and private cars. In summer 2017, an online survey was conducted with respondents who had completed ridesourcing journeys within one month before the investigation. We compare the survey results with two-week ridesourcing order data provided by DiDi Chuxing, 20% of which are ridesplitting orders (including DiDi Hitch and Express ridesplitting). Considering the modal shift from public transit to ridesplitting, the findings indicate that (I). In the short term, ridesplitting services reduce the number of vehicles on road (decreased by 3,051 veh/day, nearly 2.6‰ of the vehicle ownership in the urban area of Hangzhou). (II). In the intermediate term with the development of ridesplitting, the total decreased number of vehicles is estimated to be 4,129 veh/day (nearly 3.6‰ of the vehicle ownership). An interesting phenomenon is that Hitch's influences on the vehicle usage in the intermediate term is not obvious as the influence in the short term due to travelers' modal shift from public transit. (III). In the long term, ridesplitting will reduce the car purchase willingness and influence people's travel behavior to some extent. This paper shines light on quantita-ively exploring the influence of on-demand ridesplitting on the vehicle use and purchase willingness.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Spatial Interpolation of Missing Annual Average Daily Traffic Data Using
           Copula-Based Model
    • Authors: Xiaolei Ma;Sen Luan;Chuan Ding;Haode Liu;Yunpeng Wang;
      Pages: 158 - 170
      Abstract: Accurate estimation of traffic counts [(i.e., annual average daily traffic (AADT)] is essential to transportation agencies for traffic demand forecasting, emission evaluation, pavement design, and project prioritization. Traditional AADT estimation methods rely on either temporal data imputation techniques based on historical records or kriging-based spatial interpolation approaches. However, Kriging method utilizes the correlation function as the sole descriptor of spatial dependency, posing limitations to yield accurate interpolation results for unstable AADTs under complex traffic patterns due to diverse road functions or land uses. This study proposed a copula-based model that combines spatial dependency and marginal distribution for missing AADT interpolation to weaken the limitation of Kriging method. Thus, the proposed model not only can describe the spatial dependency but also is robust to outliers. AADT data collected from the California state highway network were used to evaluate the effectiveness of spatial copula models with varying missing data rates. Four road segments with regular and recreational traffic patterns were selected to compare with existing kriging-based approaches. Results suggested that the spatial copulas yielded significantly higher accuracy rates than kriging did for irregular travel patterns with high missing data rates. Spatial copula models hold a great potential to improve the performance of large-scale transportation network-wide data imputation for planning and operational usages.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Clusters of Driving Behavior From Observational Smartphone Data
    • Authors: Josh Warren;Jeff Lipkowitz;Vadim Sokolov;
      Pages: 171 - 180
      Abstract: Understanding driving behaviors is essential for improving safety and mobility of our transportation systems. Data is usually collected via simulator-based studies or naturalistic driving studies. Those techniques allow for understanding relations between demographics, road conditions and safety. On the other hand, they are very costly and time consuming. Thanks to the ubiquity of smartphones, we have an opportunity to substantially complement more traditional data collection techniques with data extracted from phone sensors, such as GPS, accelerometer gyroscope and camera. We developed statistical models that provided insight into driver behavior in the San Francisco metro area based on tens of thousands of driver logs. We used novel data sources to support our work. We used cell phone sensor data drawn from five hundred drivers in San Francisco to understand the speed of traffic across the city as well as the maneuvers of drivers in different areas. Specifically, we clustered drivers based on their driving behavior. We looked at driver norms by street and flagged driving behaviors that deviated from the norm.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Detecting Pickpocketing Gangs on Buses with Smart Card Data
    • Authors: Xia Zhao;Yong Zhang;Hao Liu;Shaofan Wang;Zhen Qian;Yongli Hu;Baocai Yin;
      Pages: 181 - 199
      Abstract: Detecting pickpocketing gangs on buses is critical for safety and public security department. Knowing this both in real time and from historical records would allow effective law enforcement and crime prevention. However, very little research has been devoted into identifying pickpocketing gangs in an automated and holistic manner. This research utilizes smart card data generated by bus riders to identify pickpocketing gangs, who possess distinct characteristics from regular passengers. Particularly, we create a dataset of 1,098 pickpockets among 4.06 million bus riders in August, 2015 in Beijing automatically and efficiently based on an efficient labeling model of outliers. This model examines anomaly of passengers using the so-called relative outlier cluster factor and local outlier factor. The proposed mobility patterns of pickpockets are then learned based on supervised classification. Pickpockets from the derived dataset form a pickpocketing network, which is modeled as a graph with vertices denoted as discrete pickpockets, and edge weight quantified by a combined similarity on mobility pattern, space and time. A graphbased Louvain algorithm is adopted to detect pickpocketing gangs. Experiments are conducted on SINA microblog data to verify the detected pickpocketing gangs identified by the proposed framework. Results show that the framework detects 63 pickpocketing gangs and verifies 34 gangs by microblogs, with recall value 0.85. Findings from this research can assist police and public safety departments in the city in taking pro-active actions to track down pickpocketing gangs.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Analysis of the Influencing Factors of Carpooling Schemes
    • Authors: Kai Huang;Zhiyuan Liu;Inhi Kim;Yong Zhang;Ting Zhu;
      Pages: 200 - 208
      Abstract: Carpooling, as an emerging travel mode, has not yet been paid sufficient attention despite its merits of convenience, cost-efficiency, and sustainability. The studies of carpooling, especially on the factors influencing carpooling, are inadequate. To tackle this problem, what and how the factors influence travelers' mode choice are studied with a practical trial. Based on a qualitative survey, we found that the travel time, travel cost, safety, punctuality, comfort, social contact, and identity promotion are potential influencing factors. Then a stated preference (SP) survey is conducted to address the main factors influencing carpooling. Finally, three key factors (travel time, travel cost, and safety) are singled out and the interaction of travel time and travel cost are explored by a binary logit regression analysis, respectively. Following the findings of the main factors and their interaction, related suggestions are proposed to promote the future application of carpooling.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Queue Length Estimation for Signalized Intersections Using License Plate
           Recognition Data
    • Authors: Xiaoqin Luo;Dongfang Ma;Sheng Jin;Yue Gong;Dianhai Wang;
      Pages: 209 - 220
      Abstract: Queue length is an important variable in evaluating the performance of traffic management systems, especially under congested conditions. This problem has been studied in the literature based on different kinds of traffic sensors, such as loop detectors and other mobile sensors. Automatic Number Plate Recognition systems and Automatic Vehicle Identification systems have received significant attentions due to their active deployments in recent years, which provides massive License Plate Recognition (LPR) data sources. In this paper, new methods for queue length estimation at signalized intersections are proposed using LPR data and signal schemes, with the key point being the intrinsic connections between travel time of individual vehicles and queue composition in each cycle. The queue length in the previous cycle is calculated by considering the detailed trajectories of individual vehicles. Due to the hysteresis of the queue length in the previous cycle, the queue length in the immediate past cycle is formulated as a prediction problem using regression analysis. The algorithms were evaluated using field data of Guiyang city in China, and the proposed models' results fully coincide with the experimental findings even in congested conditions.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • Multi-source traffic data reconstruction using joint low-rank and
           fundamental diagram constraints
    • Authors: Yang Wang;Yong Zhang;Zhen Qian;Shaofan Wang;Yongli Hu;Baocai Yin;
      Pages: 221 - 234
      Abstract: Accurate and complete traffic information plays an important role in traffic monitoring, traffic state estimation and prediction in all intelligent transportation systems. However, in practice, data provided from various types of traffic sensors may suffer from many issues, such as heterogeneity, missing data and bias. Therefore, extracting unbiased, accurate and complete data from multiple traffic data sources, referred to as multi-source traffic data reconstruction, is critical before data can be utilized. There are many existing methods for multi-source traffic data reconstruction, but two issues remain challenging and unaddressed: the effectiveness of reconstruction is fairly limited to attributes of available data, especially data loss ratio and reliability; the probability distribution of data assumed, which brings in bias prior to data analytics. This paper proposes a novel framework that integrates low-rank representation and fundamental traffic flow models into multi-source traffic data reconstruction. It makes full use of multi-source data, and can simultaneously impute missing data and eliminate outliers/errors. Multiple parameters in the traffic flow models are learned from large-scale spatio-temporal data, which ensures the extracted and imputed data are consistent with traffic flow physics. Experimental results on real-world traffic data demonstrate the superiority of this method over existing methods.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • The ACFR Centre: ITS Group [ITS Research Lab]
    • Authors: Cristina Olaverri;
      Pages: 235 - 240
      Abstract: Presents informationon the CS ACFR Centre.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
  • [Errata]
    • Pages: 240 - 240
      Abstract: Corrections have been made to author information in the paper, “Understanding individualization driving states via Latent Dirichlet Allocation model,” (Chen, Z., et al), Intell. Transp. Syst., vol. 11, no. 2, pp. 41–53, 2019.
      PubDate: Fall 2019
      Issue No: Vol. 11, No. 3 (2019)
       
 
 
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