A markov chain based traffic flow control model for reducing vehicles' CO2 emissions

Jun Sun; Chunxiao Li; Jie Ding; Jing Yang; Zhi Liu

doi:10.1109/ICVES.2015.7396926

A markov chain based traffic flow control model for reducing vehicles' CO₂ emissions

Jun Sun, Chunxiao Li, Jie Ding, Jing Yang, Zhi Liu

Global Information and Telecommunication Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Unsuitable signalized intersection traffic lights control strategies lead to longer waiting time before vehicles driving through the signal intersections, and the long waiting time brings us many issues, such as traffic jams, more CO₂ emissions. Hence how to reduce the waiting time becomes critical. In this paper, we propose a Markov chain based traffic flow evacuation model that aims at minimizing vehicles' CO₂ emissions. Here suppose we are able to obtain the steady state probability p₁ of vehicles arriving at the signalized intersection and the probability pcross that vehicles can drive through the signalized intersection. Then we propose a vehicles' speed control model, it's obtained with favourable performance about vehicles' CO₂ emissions through these. Simulations are conducted to verify the performances of the proposed scheme and superior performance could be observed comparing with the competing scheme in typical network scenarios.

Original language	English
Title of host publication	2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	250-255
Number of pages	6
ISBN (Print)	9781467391146
DOIs	https://doi.org/10.1109/ICVES.2015.7396926
Publication status	Published - 2016 Feb 1
Event	IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 - Yokohama, Japan Duration: 2015 Nov 5 → 2015 Nov 7

Other

Other	IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015
Country/Territory	Japan
City	Yokohama
Period	15/11/5 → 15/11/7

Keywords

CO emissions
Markov chain
signalized intersection
traffic flow control

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Electrical and Electronic Engineering
Automotive Engineering

Access to Document

10.1109/ICVES.2015.7396926

Cite this

A markov chain based traffic flow control model for reducing vehicles' CO₂ emissions. / Sun, Jun; Li, Chunxiao; Ding, Jie et al.

2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 250-255 7396926.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, J, Li, C, Ding, J, Yang, J & Liu, Z 2016, A markov chain based traffic flow control model for reducing vehicles' CO₂ emissions. in 2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015., 7396926, Institute of Electrical and Electronics Engineers Inc., pp. 250-255, IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015, Yokohama, Japan, 15/11/5. https://doi.org/10.1109/ICVES.2015.7396926

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abstract = "Unsuitable signalized intersection traffic lights control strategies lead to longer waiting time before vehicles driving through the signal intersections, and the long waiting time brings us many issues, such as traffic jams, more CO2 emissions. Hence how to reduce the waiting time becomes critical. In this paper, we propose a Markov chain based traffic flow evacuation model that aims at minimizing vehicles' CO2 emissions. Here suppose we are able to obtain the steady state probability p1 of vehicles arriving at the signalized intersection and the probability pcross that vehicles can drive through the signalized intersection. Then we propose a vehicles' speed control model, it's obtained with favourable performance about vehicles' CO2 emissions through these. Simulations are conducted to verify the performances of the proposed scheme and superior performance could be observed comparing with the competing scheme in typical network scenarios.",

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