Real-Time Traffic Flow Management Based on Inter-Object Communication: a Case Study at Intersection

• Published in: Mobile networks and applications Vol. 22; no. 4; pp. 613 - 624
• Main Authors: Bui, Khac-Hoai Nam, Camacho, David, Jung, Jai E.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-08-2017; Springer Nature B.V
• Subjects: Communication; Communications Engineering; Communications traffic; Computer Communication Networks; Computer simulation; Design improvements; Electrical Engineering; Engineering; Internet of Things; IT in Business; Networks; Real time; Traffic congestion; Traffic delay; Traffic flow; Traffic intersections; Traffic management; Traffic models; Trajectory analysis; Real-time processing; Internet of things; Connected vehicles; Intersection management; Process synchronization; Intelligent transportation systems
• ISSN: 1383-469X; 1572-8153
• DOI: 10.1007/s11036-016-0800-y

Intersections become very congested when traffic volumes are high, creating inefficiency that results in user delay and frustration. There have been many approaches which focus on optimization signal of Traffic Light System and Vehicle Trajectory Analysis to improve traffic flow at intersection. However, to implement those approaches into reality become a challenges since real-time problem. In this study, inspired by recent advanced vehicle technologies, we propose an approach for traffic flow management at intersection. In particular, with the exploding at an enormous rate of Internet of Things (IoT), the connected object has been the most visible and familiar application. By this way, based on connected object, we design a model which communicating among objects to improve traffic flow at intersection with real time problem. Moreover, traffic congestion is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.