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

Citations

WEB OF SCIENCE

26
Citations

SCOPUS

33

초록

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.

키워드

Internet of things; Connected vehicles; Process synchronization; Intelligent transportation systems; Real-time processing; Intersection management; SIGNAL CONTROL; ROUTING PROTOCOLS; NETWORKS; VEHICLES; MODEL
제목
Real-Time Traffic Flow Management Based on Inter-Object Communication: a Case Study at Intersection
저자
Bui, Khac-Hoai Nam; Camacho, David; Jung, Jai E.
DOI
10.1007/s11036-016-0800-y
발행일
2017-08
유형
Article
저널명
Mobile Networks and Applications
권
22
호
4
페이지
613 ~ 624