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Control Theory and Technology

, Volume 17, Issue 4, pp 325–334 | Cite as

Predictive car-following scheme for improving traffic flows on urban road networks

  • A. S. M. Bakibillah
  • Mahmudul Hasan
  • Md Mustafijur Rahman
  • Md Abdus Samad KamalEmail author
Article
  • 25 Downloads

Abstract

Driving behavior is one of the main reasons that causes bottleneck on the freeway or restricts the capacity of signalized intersections. This paper proposes a car-following scheme in a model predictive control (MPC) framework to improve the traffic flow behavior, particularly in stopping and speeding up of individual vehicles in dense urban traffic under a connected vehicle (CV) environment. Using information received through vehicle-to-vehicle (V2V) communication, the scheme predicts the future states of the preceding vehicle and computes the control input by solving a constrained optimization problem considering a finite future horizon. The objective function is to minimize the weighted costs due to speed deviation, control input, and unsafe gaps. The scheme shares the planned driving information with the following vehicles so that they can make better cooperative driving decision. The proposed car-following scheme is simulated in a typical driving scenario with multiple vehicles in dense traffic that has to stop at red signals in multiple intersections. The speeding up or queue clearing and stopping characteristics of the traffic using the proposed scheme is compared with the existing car-following scheme through numerical simulation.

Keywords

Car-following scheme model predictive control vehicle string connected vehicle environment distributed control 

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Copyright information

© South China University of Technology, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • A. S. M. Bakibillah
    • 1
  • Mahmudul Hasan
    • 2
  • Md Mustafijur Rahman
    • 3
  • Md Abdus Samad Kamal
    • 4
    Email author
  1. 1.School of EngineeringMonash UniversityBandar SunwayMalaysia
  2. 2.Technology Operations DepartmentGrameenphone Ltd.DhakaBangladesh
  3. 3.Department of Electrical and Electronic EngineeringManarat International UniversityDhakaBangladesh
  4. 4.Division of Mechanical Science and Technology, Graduate School of Science and TechnologyGunma UniversityMaebashiJapan

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