Mobile Networks and Applications

, Volume 22, Issue 4, pp 613–624 | Cite as

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



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.


Internet of things Connected vehicles Process synchronization Intelligent transportation systems Real-time processing Intersection management 



This research was supported by Chung-Ang University Research Grants in 2016.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Khac-Hoai Nam Bui
    • 1
  • David Camacho
    • 2
  • Jai E. Jung
    • 3
  1. 1.Department of Computer EngineeringChung-Ang UniversitySeoulKorea
  2. 2.Department of Computer ScienceUniversidad Autonoma de MadridMadridSpain
  3. 3.Computer Science DepartmentChung-Ang UniversitySeoulKorea

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