El Hamdani, S. and Benamar, N. and Younis, M. (2019) A protocol for pedestrian crossing and increased vehicular flow in smart cities. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


With the technological drive for realizing smart cities, work on Autonomous Intersection Management (AIM) protocols opts to replace the traditional traffic light system by using cooperative Vehicle-to-Vehicle (V2V) communication in order to decrease road congestion and increase vehicular throughput. However, these protocols simply ignore pedestrians as road users and do not provision for safe pedestrian crossing. Basically, a road intersection not only could be traffic bottleneck, but also nearly 23 of the total automotive related fatalities and almost 1 million injury-causing crashes occur at or within intersections every year. This article opts to fill such a technical gap. We present a novel system that prioritizes pedestrians crossing and guarantees safety while preserving the efficiency of AIM based approaches. Our system does not require additional infrastructure or pedestrian-carried devices, and works for both self-driving and human-derived vehicles. The simulation results show that our proposed system for Autonomous Pedestrian Crossing (APC) protocol of non-signalized intersections significantly decreases the vehicle’s delay and pedestrian walk duration compared to the conventional traffic light-based systems. The effectiveness of APC is validated for traffic scenarios with (1) self-driving vehicles, and (2) mix of human-based and self-driving vehicles. © 2019, © 2019 Taylor & Francis Group, LLC.

Item Type: Article
Uncontrolled Keywords: Cooperative communication; Crosswalks; Footbridges; Highway administration; Highway traffic control; Motor transportation; Smart city; Street traffic control; Traffic congestion; Traffic signals; Traffic signs; Vehicle to vehicle communications; Vehicles, Autonomous intersection managements; Autonomous pedestrians; Cooperative driving; Cooperative vehicles; Mixed traffic; Non-signalized intersection; Traffic management; V2V communications, Pedestrian safety
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:45
URI: http://eprints.umi.ac.ma/id/eprint/2289

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