Smart Intersections and Connected Autonomous Vehicles for Sustainable Smart Cities: A Brief Review

被引:2
作者
Khanmohamadi, Masoud [1 ]
Guerrieri, Marco [1 ]
机构
[1] Univ Trento, Dept Civil Environm & Mech Engn DICAM, Via Mesiano 77, Trento, Italy
关键词
smart intersections; smart roads; sensors; traffic; CAVs; TRANSIT SIGNAL PRIORITY; AUTOMATED VEHICLES; REACTION-TIME; ROAD; MODEL; TECHNOLOGIES; CHALLENGES; INFRASTRUCTURE; OPTIMIZATION; MANAGEMENT;
D O I
10.3390/su17073254
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the importance of safety, efficiency, and sustainability in urban transportation becomes more apparent, intelligent transportation systems are changing and growing. Smart intersections play a crucial role in different parts of this context. Technologies such as Vehicle-to-Everything (V2X) communication, artificial intelligence, multi-sensor data fusion, and more are incorporated into these intersections to improve capacity and safety and reduce damage to the environment. This literature review aims to merge various recent works on advancing smart intersection technologies, their thematic application, methodological approach, and regional implementations. Highlighting adaptive traffic signal control, real-time data processing, and connected autonomous vehicle (CAV) integrations sheds light on the way the effectiveness of transportation in cities can be improved. At the same time, this study tackles questions of cybersecurity and standardization. This review provides insights for researchers, policymakers, and practitioners who aim to improve transportation systems' sustainability, fairness, and operability.
引用
收藏
页数:30
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