Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy

被引:205
作者
Faisal, Asif [1 ]
Yigitcanlar, Tan [1 ]
Kamruzzaman, Md [2 ]
Currie, Graham [2 ]
机构
[1] Queensland Univ Technol, Brisbane, Qld, Australia
[2] Monash Univ, Clayton, Vic, Australia
关键词
ADAPTIVE CRUISE CONTROL; SELF-DRIVING CARS; GREENHOUSE-GAS EMISSIONS; AUTOMATED VEHICLES; SMART CITIES; PUBLIC TRANSPORTATION; PRIVATE CAR; LAND-USE; MANAGEMENT; MOBILITY;
D O I
10.5198/jtlu.2019.1405
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Advancement in automated driving technology has created opportunities for smart urban mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda. However, legislators, urban administrators, policymakers, and planners are unprepared to deal with the possible disruption of autonomous vehicles, which potentially could replace conventional transport. There is a lack of knowledge on how the new capabilities will disrupt and which policy strategies are needed to address such disruption. This paper aims to determine where we are, where we are headed, what the likely impacts of a wider uptake could be, and what needs to be done to generate desired smart urban mobility outcomes. The methodology includes a systematic review of the existing evidence base to understand capability, impact, planning, and policy issues associated with autonomous vehicles. The review reveals the trajectories of technological development, disruptive effects caused by such development, strategies to address the disruptions, and possible gaps in the literature. The paper develops a framework outlining the inter-links among driving forces, uptake factors, impacts and possible interventions. It concludes by advocating the necessity of preparing our cities for autonomous vehicles, although a wider uptake may take quite some time.
引用
收藏
页码:45 / 72
页数:28
相关论文
共 143 条
  • [1] An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles
    Altche, Florent
    Qian, Xiangjun
    de La Fortelle, Arnaud
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (12) : 3527 - 3539
  • [2] [Anonymous], 2014, AUTONOMOMOUS VEHICLE
  • [3] [Anonymous], 2008, OPEN TRANSP J
  • [4] [Anonymous], 2017, Bloomberg
  • [5] [Anonymous], AUTONOMOUS DRIVING T
  • [6] [Anonymous], 2015, 94 ANN M TRANSP RES
  • [7] Efficiency of the EU regulation on greenhouse gas emissions in Italy: The hierarchical cluster analysis approach
    Arbolino, Roberta
    Carlucci, Fabio
    Cira, Andrea
    Ioppolo, Giuseppe
    Yigitcanlar, Tan
    [J]. ECOLOGICAL INDICATORS, 2017, 81 : 115 - 123
  • [8] Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation
    Arnaout, Georges M.
    Arnaout, Jean-Paul
    [J]. TRANSPORTATION PLANNING AND TECHNOLOGY, 2014, 37 (02) : 186 - 199
  • [9] Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
    Bagloee, Saeed Asadi
    Tavana, Madjid
    Asadi, Mohsen
    Oliver, Tracey
    [J]. JOURNAL OF MODERN TRANSPORTATION, 2016, 24 (04): : 284 - 303
  • [10] Bai Wenjie., 2017, GLOBECOM 2017-2017 IEEE Global Communications Conference, P1