Eco-Driving for Public Transit in Cyber-Physical Systems Using V2I Communication

  • Liguo Zhang
  • Wenjia Liang
  • Xiuzheng Zheng


This paper studies the eco-driving of public transit using the information of the traffic signal and the passengers obtained with V2I infrastructure. An optimal control is formulated to minimize the vehicle exhaust emission and avoid the extra stops at the intersection. The numerical algorithm is proposed by integrating the rolling horizon optimization with the branch and bound method. The optimal driving velocity is displayed to the drivers via mobile applications. A traffic network in Xicheng District, Beijing, is chosen to investigate the performance of the developed eco-driving approach.


Cyber-physical systems Hybrid systems Eco-driving Vehicle specific power Optimal control 



The authors would like to thank the anonymous reviewers for their useful comments, which helped us to improve the quality of this work.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.School of Electronic Information and Control EngineeringBeijing University of TechnologyBeijingPeople’s Republic of China

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