The complexity of value of travel time for self-driving vehicles - a morphological analysis

被引:4
作者
Nordstrom, Maria [1 ]
Engholm, Albin [2 ]
机构
[1] KTH Royal Inst Technol, Div Philosophy, Teknikringen 76, SE-10044 Stockholm, Sweden
[2] KTH Royal Inst Technol, Integrated Transport Res Lab ITRL, Stockholm, Sweden
关键词
Value of travel time; value of time; self-driving vehicles; morphological analysis; PUBLIC TRANSPORT; SAVINGS; VALUATION;
D O I
10.1080/03081060.2021.1919349
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Understanding the value of travel time for mobility concepts based on self-driving vehicles is crucial to accurately value transport investments and predict future travel patterns. In this paper, we carry out a morphological analysis to illustrate the diversity of mobility concepts based on self-driving vehicles and the complexity of determining the value of travel time for such concepts. We consider four categories of parameters that directly or indirectly impact the value of travel time: (i) vehicle characteristics, (ii) operating principles, (iii) journey characteristics and (iv) traveler characteristics. The parameters and respective attributes result in a morphological matrix that spans all possible solutions. Out of these, we analyze five plausible solutions based on the implications of the concept characteristics on the total value of travel time. We conclude by suggesting an alternative approach to differentiate value of travel time based on travel characteristics rather than the usual decomposition into transport modes.
引用
收藏
页码:400 / 417
页数:18
相关论文
共 50 条
  • [21] Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors
    Liu, Peng
    Guo, Qianru
    Ren, Fei
    Wang, Lin
    Xu, Zhigang
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 100 : 306 - 317
  • [22] Will autonomous vehicles change auto commuters' value of travel time?
    Zhong, Haotian
    Li, Wei
    Burris, Mark W.
    Talebpour, Alireza
    Sinha, Kumares C.
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 83
  • [23] Pedestrian assessment: Is displaying automated driving mode in self-driving vehicles as relevant as emitting an engine sound in electric vehicles?
    Faas, Stefanie M.
    Baumann, Martin
    [J]. APPLIED ERGONOMICS, 2021, 94 (94)
  • [24] VADtalk: An Internet of Vehicles Platform Facilitating Anomaly Detection Modeling and Deployment for Self-Driving Vehicles
    Lu, Yi-Cheng
    Yang, Shun-Ren
    Lin, Phone
    Huang, Chih-Wei
    [J]. 2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2023, : 733 - 738
  • [25] A multi-sensor fusion and object tracking algorithm for self-driving vehicles
    Yi, Chunlei
    Zhang, Kunfan
    Peng, Nengling
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2019, 233 (09) : 2293 - 2300
  • [26] CMSV: a New Cloud Multi-Agents for Self-Driving Vehicles as a Services
    Nasr, Aida A.
    [J]. JOURNAL OF GRID COMPUTING, 2024, 22 (01)
  • [27] Research on path planning of self-driving vehicles based on improved DWA algorithm
    Tang X.
    Li Y.
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [28] Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles
    Liu, Jiaxin
    Wang, Hong
    Cao, Zhong
    Yu, Wenhao
    Zhao, Chengxiang
    Zhao, Ding
    Yang, Diange
    Li, Jun
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (12) : 14858 - 14872
  • [29] Numerical Evaluation of the Safety of Self-Driving Vehicles: Functionality Involving Vehicle Detection
    Pimentel, Juan
    Bastiaan, Jennifer
    Zadeh, Mehrdad
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES 2018), 2018,
  • [30] Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems
    Maity, Biswadip
    Yi, Saehanseul
    Seo, Dongjoo
    Cheng, Leming
    Lim, Sung-Soo
    Kim, Jong-Chan
    Donyanavard, Bryan
    Dutt, Nikil
    [J]. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2021, 20 (05)