Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems

被引:30
作者
Severino, Alessandro [1 ]
Curto, Salvatore [2 ]
Barberi, Salvatore [2 ]
Arena, Fabio [2 ]
Pau, Giovanni [2 ]
机构
[1] Univ Catania, Dept Civil Engn & Architecture, I-95123 Catania, Italy
[2] Kore Univ Enna, Fac Engn & Architecture, I-94100 Enna, Italy
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 08期
关键词
autonomous vehicles; intelligent transportation system; road safety; urban transport system; artificial intelligence;
D O I
10.3390/app11083604
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles' spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems.
引用
收藏
页数:17
相关论文
共 48 条
[1]   An Overview on the Current Status and Future Perspectives of Smart Cars [J].
Arena, Fabio ;
Pau, Giovanni ;
Severino, Alessandro .
INFRASTRUCTURES, 2020, 5 (07)
[2]  
Arjun P., 2020, INT J SCI RES, V9, P1579, DOI DOI 10.21275/ART20204360
[3]   Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections [J].
Arvin, Ramin ;
Khattak, Asad J. ;
Kamrani, Mohsen ;
Rio-Torres, Jackeline .
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 25 (02) :170-187
[4]   Urban mobility and public transport: future perspectives and review [J].
Ceder, Avishai .
INTERNATIONAL JOURNAL OF URBAN SCIENCES, 2021, 25 (04) :455-479
[5]   Autonomous vehicles: challenges, opportunities, and future implications for transportation policies [J].
Bagloee, Saeed Asadi ;
Tavana, Madjid ;
Asadi, Mohsen ;
Oliver, Tracey .
JOURNAL OF MODERN TRANSPORTATION, 2016, 24 (04) :284-303
[6]   Effect of Autonomous Vehicles on Performance of Signalized Intersections [J].
Berktas, Ecem Sentuerk ;
Tanyel, Serhan .
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2020, 146 (02)
[7]   Cost-based analysis of autonomous mobility services [J].
Boesch, Patrick M. ;
Becker, Felix ;
Becker, Henrik ;
Axhausen, Kay W. .
TRANSPORT POLICY, 2018, 64 :76-91
[8]  
Burghardt T.E., 2020, Transportation Research Procedia, V48, P3622, DOI [DOI 10.1016/J.TRPRO.2020.08.089, 10.1016/j.trpro.2020.08.089]
[9]  
Cao D., 2019, 190501150 ARXIV
[10]   Assess the impacts of different autonomous trucks' lateral control modes on asphalt pavement performance [J].
Chen, Feng ;
Song, Mingtao ;
Ma, Xiaoxiang ;
Zhu, Xingyi .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 103 :17-29