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Transport
Journal Prestige (SJR): 0.402

Citation Impact (citeScore): 1
Number of Followers: 16

This is an Open Access Journal

Open Access journal
ISSN (Print) 1648-4142 - ISSN (Online) 1648-3480
Published by Vilnius Gediminas Technical University

[15 journals]

Evaluation of the impacts of autonomous vehicles on the mobility of user
groups by using agent-based simulation
- Authors: Jamil Hamadneh, Domokos Esztergar-Kiss
  Pages: 1–16 - 1–16
  Abstract: An agent-based transport simulation model is used to examine the impacts of Autonomous Vehicles (AVs) on the mobility of certain groups of people. In the state of the art, it has been found that the researchers primarily have simulation studies focusing on the impacts of AVs on people regardless of certain groups. However, this study focuses on assessing the impacts of AVs on different groups of users, where each group is affected variously by the introduction of different penetration levels of AVs into the market. The Multi-Agent Transport Simulation (MATSim) software, which applies the co-evolutionary algorithm and provides a framework to carry out large-scale agent-based transport simulations, is used as a tool for conducting the simulations. In addition to the simulation of all travellers, 3 groups of users are selected as potential users of AVs, as follow: (1) long commuters with high-income, (2) elderly people who are retired, and (3) part-time workers. Budapest (Hungary) is examined in a case study, where the daily activity plans of the households are provided. Initially, the existing daily activity plans (i.e., the existing condition) of each group are simulated and assessed before the introduction of AVs into the market. After that, the AVs are inserted into the road network, where different fleet sizes of AVs are applied based on the demand of each group. The marginal utility of the travel time spent in case of a transport mode, the AV fleet size, and the cost of the travel are the key variables that determine the use of a transport mode. The key variables are set based on the characteristics of the case study (i.e., demand) and the AVs. The results of the simulations suggest that the AVs have different degrees of influences on certain groups as demonstrated in the occurred changes on the modal share. The value of changes depends on the Value of Travel Time (VOT) of people and the used fleet size of AVs. Moreover, the influence of the traveller’s characteristics on the AVs is manifested, such as different values of fleet utilization. Furthermore, the study demonstrates that an increase in the fleet size of AVs beyond 10% of the demand does not significantly raise the modal share of AVs. The outcome of this paper might be used by decision-makers to define the shape of the AVs’ use and those groups who are interested in using AVs.
  PubDate: 2022-03-15
  DOI: 10.3846/transport.2022.16322
  Issue No: Vol. 37, No. 1 (2022)
Clustering algorithm for a vehicle routing problem with time windows
- Authors: Thi Diem Chau Le, Duc Duy Nguyen, Judit Oláh, Miklós Pakurár
  Pages: 17–2 - 17–2
  Abstract: The demand for daily food purchases has increased dramatically, especially during the Covid-19 pandemic. This requires suppliers to face a huge and complex problem of delivering products that meet the needs of their customers on a daily basis. It also puts great pressure on managers on how to make day-to-day decisions quickly and efficiently to both satisfy customer requirements and satisfy capacity constraints. This study proposes a combination of the cluster-first –route-second method and k-means clustering algorithm to deal with a large Vehicle Routing Problem with Time Windows (VRPTW) in the logistics and transportation field. The purpose of this research is to assist decision-makers to make quick and efficient decisions, based on optimal costs, the number of vehicles, delivery time, and truck capacity efficiency. A distribution system of perishable goods in Vietnam is used as a case study to illustrate the effectiveness of our mathematical model. In particular, perishable goods include fresh products of fish, chicken, beef, and pork. These products are packed in different sizes and transferred by vehicles with 1000 kg capacity. Besides, they are delivered from a depot to the main 39 customers of the company with arrival times following customers’ time window. All of the data are collected from a logistics company in Ho Chi Minh city (Vietnam). The result shows that the application of the clustering algorithm reduces the time for finding the optimal solutions. Especially, it only takes an average of 0.36 s to provide an optimal solution to a large Vehicle Routing Problem (VRP) with 39 nodes. In addition, the number of trucks, their operating costs, and their utilization are also shown fully. The logistics company needs 11 trucks to deliver their products to 39 customers. The utilization of each truck is more than 70%. This operation takes the total costs of 6586215.32 VND (Vietnamese Dong), of which, the transportation cost is 1086215.32 VND. This research mainly contributes an effective method for enterprises to quickly find the optimal solution to the problem of product supply.
  PubDate: 2022-05-02
  DOI: 10.3846/transport.2022.16850
  Issue No: Vol. 37, No. 1 (2022)
Using growth curves model to analyse the prospects of China–Pakistan oil
and LNG transportation corridor
- Authors: Wencheng Huang, Bin Shuai, Yong Shen
  Pages: 28–3 - 28–3
  Abstract: In order to analysing the oil and Liquefied Natural Gas (LNG) import and consumption changing trends, the Occurrence Period (OP), Growth Period (GP) and Maturation Period (MP) of oil and LNG import and consumption in China, and studying how the oil and LNG import and consumption changing trends influence the development of China–Pakistan oil and LNG transportation corridor (CPOLTC), in this paper we apply a Growth Curve Model (GCM) based approach to solve the problems mentioned above. First, the Chinese oil and LNG import and consumption changing trends are analysed by applying the GCM. The results show that oil and LNG consumption and import belong to the GP because of the fast industrialization and urbanization development, so the oil and LNG import and consumption demand will increase fast; Then, the External Dependence (ED) is applied to describe the oil and LNG consumption dependence degree in China, the results show that import will remain high ED value, especially for the oil import (over 70%), which means the security of the energy supply chain still remains the central idea of Chin’s energy policies. Finally, the challenges and key issues of CPOLTC is analysed. Challenges are: domestic political struggles and institutional defects in Pakistan make the CPOLTC projects lacking of implementation, security along the corridor, influence and competition from external forces, impacts of western project culture, the comprehensive projects establishment ability in Pakistan, etc. The key issues are: Value Engineering (VE) researches for projects, Chinese element such as project construction, management, standards and specifications, assessment of the projects’ life cycle and so on.
  PubDate: 2022-05-02
  DOI: 10.3846/transport.2022.16851
  Issue No: Vol. 37, No. 1 (2022)
Deep neural network based data-driven virtual sensor in vehicle
semi-active suspension real-time control
- Authors: Paulius Kojis, Eldar Šabanovič, Viktor Skrickij
  Pages: 37–5 - 37–5
  Abstract: This research presents a data-driven Neural Network (NN)-based Virtual Sensor (VS) that estimates vehicles’ Unsprung Mass (UM) vertical velocity in real-time. UM vertical velocity is an input parameter used to control a vehicle’s semi-active suspension. The extensive simulation-based dataset covering 95 scenarios was created and used to obtain training, validation and testing data for Deep Neural Network (DNN). The simulations have been performed with an experimentally validated full vehicle model using software for advanced vehicle dynamics simulation. VS was developed and tested, taking into account the Root Mean Square (RMS) of Sprung Mass (SM) acceleration as a comfort metric. The RMS was calculated for two cases: using actual UM velocity and estimations from the VS as input to the suspension controller. The comparison shows that RMS change is less than the difference threshold that vehicle occupants could perceive. The achieved result indicates the great potential of using the proposed VS in place of the physical sensor in vehicles.
  PubDate: 2022-05-12
  DOI: 10.3846/transport.2022.16919
  Issue No: Vol. 37, No. 1 (2022)