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Towards a Smart Robot Model for Traffic Signal Management in Developing Countries

Amro Najjar, Harisha Prakash, Igor Tchappi, Jean Etienne Ndamlabin Mboula, Yazan Mualla

Year
2022
Citations
2
Access
Open access

Abstract

Traffic congestion remains a major issue in the majority of developing countries. Intersections, in particular, are one of the major bottlenecks in road networks, exacerbating congestion. In these countries, policemen are regularly used to control traffic at intersections due to the social behaviors of drivers. However, policemen experience a lot of stress from long working hours and have the risk of accidents. Therefore, effective control of traffic at intersections taking into account the social behavior of drivers is an important strategy for improving traffic flow. To address this, in this paper to control the traffic at the intersection of a road network, a robot model for traffic signal management system using a web-based traffic simulator is presented.

Keywords

Intersection (aeronautics)Traffic conflictTransport engineeringComputer scienceTraffic flow (computer networking)Traffic congestionTraffic bottleneckFloating car dataControl (management)Robot

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