Publisher: Inderscience Publishers   (Total: 444 journals)

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Showing 401 - 444 of 444 Journals sorted alphabetically
Intl. J. of Technology Management     Hybrid Journal   (Followers: 4, SJR: 0.411, CiteScore: 1)
Intl. J. of Technology Marketing     Hybrid Journal   (Followers: 6)
Intl. J. of Technology Policy and Law     Hybrid Journal   (Followers: 7)
Intl. J. of Technology Transfer and Commercialisation     Hybrid Journal   (Followers: 1)
Intl. J. of Technology, Policy and Management     Hybrid Journal   (Followers: 1, SJR: 0.159, CiteScore: 0)
Intl. J. of Telemedicine and Clinical Practices     Hybrid Journal   (Followers: 3)
Intl. J. of the Built Environment and Asset Management     Hybrid Journal   (Followers: 4)
Intl. J. of the Digital Human     Hybrid Journal   (Followers: 2)
Intl. J. of Theoretical and Applied Multiscale Mechanics     Hybrid Journal   (Followers: 3)
Intl. J. of Tourism Anthropology     Hybrid Journal   (Followers: 10, SJR: 0.125, CiteScore: 0)
Intl. J. of Tourism Policy     Hybrid Journal   (Followers: 9, SJR: 0.143, CiteScore: 0)
Intl. J. of Trade and Global Markets     Hybrid Journal   (Followers: 2, SJR: 0.221, CiteScore: 0)
Intl. J. of Transitions and Innovation Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Trust Management in Computing and Communications     Hybrid Journal   (Followers: 3)
Intl. J. of Ultra Wideband Communications and Systems     Hybrid Journal   (SJR: 0.106, CiteScore: 0)
Intl. J. of Value Chain Management     Hybrid Journal   (Followers: 6, SJR: 0.116, CiteScore: 0)
Intl. J. of Vehicle Autonomous Systems     Hybrid Journal   (SJR: 0.155, CiteScore: 0)
Intl. J. of Vehicle Design     Hybrid Journal   (Followers: 6, SJR: 0.363, CiteScore: 1)
Intl. J. of Vehicle Information and Communication Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Vehicle Noise and Vibration     Hybrid Journal   (Followers: 7, SJR: 0.297, CiteScore: 1)
Intl. J. of Vehicle Performance     Hybrid Journal  
Intl. J. of Vehicle Safety     Hybrid Journal   (Followers: 5, SJR: 0.164, CiteScore: 0)
Intl. J. of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 3, SJR: 0.278, CiteScore: 1)
Intl. J. of Virtual Technology and Multimedia     Hybrid Journal   (Followers: 2)
Intl. J. of Water     Hybrid Journal   (Followers: 17, SJR: 0.165, CiteScore: 0)
Intl. J. of Web and Grid Services     Hybrid Journal   (SJR: 0.23, CiteScore: 1)
Intl. J. of Web Based Communities     Hybrid Journal   (SJR: 0.212, CiteScore: 1)
Intl. J. of Web Engineering and Technology     Hybrid Journal   (Followers: 1, SJR: 0.115, CiteScore: 0)
Intl. J. of Web Science     Hybrid Journal   (Followers: 3)
Intl. J. of Wireless and Mobile Computing     Hybrid Journal   (Followers: 6, SJR: 0.233, CiteScore: 1)
Intl. J. of Work Innovation     Hybrid Journal   (Followers: 2, SJR: 0.101, CiteScore: 0)
Intl. J. of Work Organisation and Emotion     Hybrid Journal   (Followers: 5, SJR: 0.171, CiteScore: 1)
J. for Global Business Advancement     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
J. for Intl. Business and Entrepreneurship Development     Hybrid Journal   (Followers: 12)
J. of Design Research     Hybrid Journal   (Followers: 15, SJR: 0.346, CiteScore: 1)
Latin American J. of Management for Sustainable Development     Hybrid Journal  
Luxury Research J.     Hybrid Journal   (Followers: 1)
Middle East J. of Management     Hybrid Journal   (Followers: 2)
Progress in Computational Fluid Dynamics, An Intl. J.     Hybrid Journal   (Followers: 8, SJR: 0.25, CiteScore: 1)
Progress in Industrial Ecology, An Intl. J.     Hybrid Journal   (Followers: 4, SJR: 0.162, CiteScore: 0)
The Botulinum J.     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
World Review of Entrepreneurship, Management and Sustainable Development     Hybrid Journal   (Followers: 3, SJR: 0.312, CiteScore: 1)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 6, SJR: 0.26, CiteScore: 1)
World Review of Science, Technology and Sustainable Development     Hybrid Journal   (Followers: 3, SJR: 0.15, CiteScore: 0)

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Similar Journals
Journal Cover
International Journal of Vehicle Design
Journal Prestige (SJR): 0.363
Citation Impact (citeScore): 1
Number of Followers: 6  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0143-3369 - ISSN (Online) 1741-5314
Published by Inderscience Publishers Homepage  [444 journals]
  • Vehicle longitudinal force estimation using adaptive neural network
           nonlinear observer
    • Authors: Mourad Boufadene, Mohammed Belkheiri, Abdelhamid Rabhi, Ahmed El Hajjaji
      Pages: 205 - 220
      Abstract: This paper presents an adaptive neural network (NN) nonlinear observer to estimate the longitudinal tyre forces as well as the lateral speed which is not measured on standard vehicles. The proposed adaptive neural network (NN) observer uses the longitudinal speed, yaw rate and the steering angle dynamics of the vehicle as measured states. It is used to estimate the states, and the longitudinal tyre forces, which are unknown dynamics, with high performance. The obtained simulation results show the effectiveness of the proposed neural network nonlinear observer.
      Keywords: adaptive observer; adaptive neural network; radial basis function approximation; nonlinear observer; vehicle force estimation; tyre forces estimation; longitudinal vehicle force estimation
      Citation: International Journal of Vehicle Design, Vol. 79, No. 4 (2019) pp. 205 - 220
      PubDate: 2019-11-13T23:20:50-05:00
      DOI: 10.1504/IJVD.2019.103593
      Issue No: Vol. 79, No. 4 (2019)
       
  • Integrated control of AFS and DYC for in-wheel-motor electric vehicles
           based on operation region division
    • Authors: Jianjun Hu, Zhihua Hu, Chunyun Fu, Fuqian Nan
      Pages: 221 - 247
      Abstract: The integrated chassis control system can improve vehicle handling and stability effectively. This paper proposes an integrated control system based on operation region division of active front steering (AFS) and direct yaw moment control (DYC) for in-wheel-motor electric vehicles. The control system adopts a two-layer hierarchical control structure. The decision layer employs a modified sliding mode controller to calculate the required corrective yaw moment, and determines operating regions of the two subsystems based on the driving conditions (road adhesion coefficient, tyre load and wheel slip ratio). The execution layer generates the corrective steer angle and the driving/braking torques for the AFS and DYC subsystems respectively. Simulation results show that on the high-adhesion-coefficient road, the integrated control system appropriately adopts subsystems to improve handling, while attenuating the workload of barking system; on the slippery road, the integrated control system maintains vehicle stability and provides control performance superior to those resulting from the single systems.
      Keywords: driving stability; AFS; active front steering; DYC; direct yaw moment control; yaw rate; hierarchical control; operation region division; lateral tyre force; Magic Formula; sliding mode control
      Citation: International Journal of Vehicle Design, Vol. 79, No. 4 (2019) pp. 221 - 247
      PubDate: 2019-11-13T23:20:50-05:00
      DOI: 10.1504/IJVD.2019.103594
      Issue No: Vol. 79, No. 4 (2019)
       
  • Pressure controlling of integrated electro-hydraulic braking system with
           considering driver brake behaviour
    • Authors: Hao Pan, Xuexun Guo, Xiaofei Pei, Daoyuan Sun
      Pages: 248 - 272
      Abstract: This paper proposes a pressure controlling strategy for the integrated electro-hydraulic braking (IEHB) system by considering driver brake behaviour. Firstly, the representative feature parameters of brake behaviour are extracted from various vehicle data and clustered by manoeuvre characteristics. Seven brake pedal operation training libraries are self-learned adaptively by a hidden Markov model for driver brake behaviour recognition. Then, a self-tuning function based on recognition results is proposed to adjust the PWM parameters of the PI controller for the motor and valve. Eventually, the hardware-in-loop results of IEHB system show the accuracy of the brake behaviour recognition algorithm, and the feasibility of self-tuning controlling strategy. In addition, the effectiveness of pressure regulation for the IEHB system is verified.
      Keywords: electro-hydraulic braking system; brake behaviour; HMM; hidden Markov model; pressure controlling; self-tuning PI
      Citation: International Journal of Vehicle Design, Vol. 79, No. 4 (2019) pp. 248 - 272
      PubDate: 2019-11-13T23:20:50-05:00
      DOI: 10.1504/IJVD.2019.103595
      Issue No: Vol. 79, No. 4 (2019)
       
  • Active steering control system for an independent wheel drive electric
           vehicle
    • Authors: Muhammad Arshad Khan, Muhammad Faisal Aftab, Ejaz Ahmad, Iljoong Youn
      Pages: 273 - 291
      Abstract: This research presents an active steering control system (ASCS) for an independent wheel drive electric vehicle (EV). The ASCS will manoeuvre the independently actuated (IA) all-wheel drive (AWD) EV via coordinating the angular velocities of the four wheels plus active front steering (AFS). Due to the physical and mechanical limitations of the steering input in conventional AFS, the differential speed between left and right wheels of an IA EV is used to generate the additional steering effects. The proposed ASCS is a combination of forward speed and yaw rate controllers, designed using the robust H<SUB align="right">∞ control methodology. The effectiveness of the proposed control system is analysed using a high-fidelity vehicle model by simulating different driving conditions and road disturbances cases. The simulation results indicate that the proposed system can significantly improve the vehicle performance by tracking the desired yaw rate and speed.
      Keywords: differential steering control; AFS; active front steering; electric vehicle; four wheel drive; H∞ control; nonlinear vehicle model; steering control; vehicle dynamics; yaw rate tracking
      Citation: International Journal of Vehicle Design, Vol. 79, No. 4 (2019) pp. 273 - 291
      PubDate: 2019-11-13T23:20:50-05:00
      DOI: 10.1504/IJVD.2019.103597
      Issue No: Vol. 79, No. 4 (2019)
       
  • A data-based lane departure warning algorithm using hidden Markov
           model
    • Authors: Hongyu Zheng, Jian Zhou, Huaji Wang
      Pages: 292 - 315
      Abstract: To improve the lane departure warning algorithm in the vehicle lateral assistance system, an effective approach that can accurately identify a vehicle's lateral state is needed. Since steering events are the primary reason for lane departure, in this paper, a data-based departure warning algorithm is proposed that uses a hidden Markov model (HMM) to detect the lane departure state. In the HMM, the current steering event is the hidden state, and the driving state information is the observed sequence. The parameters of the HMM can be trained using the driving dataset of the driver. In addition, a further judgement strategy is used to distinguish between intentional and unintentional departure to avoid false alerts. Finally, based on a reasonable time window for identification, experiments are conducted to compare the proposed algorithm and the time-to-lane-crossing (TLC) algorithm. Quantitative analyses of the experimental results demonstrate the satisfactory performance of the data-based algorithm.
      Keywords: lateral assistance system; lane departure warning; HMM; hidden Markov model; data-based algorithm; driving dataset; steering events; identification; further judgement; time window; comparison
      Citation: International Journal of Vehicle Design, Vol. 79, No. 4 (2019) pp. 292 - 315
      PubDate: 2019-11-13T23:20:50-05:00
      DOI: 10.1504/IJVD.2019.103615
      Issue No: Vol. 79, No. 4 (2019)
       
 
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