Social implications of coexistence of CAVs and human drivers in the context of route choice

被引:0
|
作者
Jamroz, Grzegorz [1 ]
Akman, Ahmet Onur [2 ]
Psarou, Anastasia [2 ]
Varga, Zoltan Gyorgy [2 ]
Kucharski, Rafal [1 ]
机构
[1] Jagiellonian Univ, Fac Math & Comp Sci, Krakow, Poland
[2] Jagiellonian Univ, Doctoral Sch Exact & Nat Sci, Krakow, Poland
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
基金
欧洲研究理事会;
关键词
MULTIPLE EQUILIBRIUM BEHAVIORS; USER EQUILIBRIUM; TRANSPORTATION; NETWORKS; DYNAMICS; SYSTEMS; WORLD; GAMES;
D O I
10.1038/s41598-025-90783-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Suppose in a stable urban traffic system populated only by human driven vehicles (HDVs), a given proportion (e.g. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$10\%$$\end{document}) is replaced by a fleet of Connected and Autonomous Vehicles (CAVs), which share information and pursue a collective goal. Suppose these vehicles are centrally coordinated and differ from HDVs only by their collective capacities allowing them to make more efficient routing decisions before the travel on a given day begins. Suppose there is a choice between two routes and every day each driver makes a decision which route to take. Human drivers maximize their utility. CAVs might optimize different goals, such as the total travel time of the fleet. We show that in this plausible futuristic setting, the strategy CAVs are allowed to adopt may result in human drivers either benefitting or being systematically disadvantaged and urban networks becoming more or less optimal. Consequently, some regulatory measures might become indispensable.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Food Choice Drivers in the Context of the Nutrition Transition in Delhi, India
    Bailey, Claire
    Garg, Vandana
    Kapoor, Deksha
    Wasser, Heather
    Prabhakaran, Dorairaj
    Jaacks, Lindsay M.
    JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR, 2018, 50 (07) : 675 - 686
  • [32] Modelling drivers' compliance and route choice behaviour in response to travel information
    Hussein Dia
    Sakda Panwai
    Nonlinear Dynamics, 2007, 49 : 493 - 509
  • [33] Study on the impact of freeway toll rate on drivers’ route choice behavior
    Huan N.
    Yao E.
    Yang Y.
    Lu T.
    Advances in Transportation Studies, 2019, 47 : 21 - 34
  • [34] Drivers' route choice rules and network behavior - Do drivers become rational and homogeneous through learning?
    Nakayama, S
    Kitamura, R
    Fujii, S
    TRAVEL PATTERNS AND BEHAVIOR; EFFECTS OF COMMUNICATIONS TECHNOLOGY: PLANNING AND ADMINISTRATION, 2001, (1752): : 62 - 68
  • [35] Bangladeshi 'Boat People': Context, Drivers And Policy Implications
    Hasan, Mubashar
    SOUTH ASIA RESEARCH, 2019, 39 (01) : 78 - 94
  • [36] Evacuee Route Choice Decisions in a Dynamic Hurricane Evacuation Context
    Robinson, R. Michael
    Khattak, Asad
    TRANSPORTATION RESEARCH RECORD, 2012, (2312) : 141 - 149
  • [37] A Route Choice Model with Context-Dependent Value of Time
    Xu, Hongli
    Yang, Hai
    Zhou, Jing
    Yin, Yafeng
    TRANSPORTATION SCIENCE, 2017, 51 (02) : 536 - 548
  • [38] Six choice metaphors and their social implications
    Jennings, Frederic B., Jr.
    JOURNAL OF PHILOSOPHICAL ECONOMICS, 2009, 2 (02): : 34 - 77
  • [39] Dynamics of drivers' route choice decisions under advanced traveller information systems
    Dia, Hussein
    Harney, Daniel
    Boyle, Andrew
    Road and Transport Research, 2001, 10 (04): : 3 - 13
  • [40] A Day-to-day route choice model based on drivers’ past experience
    Hyunmyung Kim
    Yongtaek Lim
    KSCE Journal of Civil Engineering, 2012, 16 : 1267 - 1279