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Multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads

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Advances in Simulation and Process Modelling (ISSPM 2020)

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Abstract

In this paper, multi-objective optimization is used to solve the signal synchronization problem in arterial traffic roads, where a traffic dispersion module is introduced to further expand the solution space. By incorporating the models of delay time, queue length and stop times into the optimization, a first model called M1 is established. In the second model M2, the free flow speed assumption is replaced by a traffic dispersion module for better estimating the link travel time. A simulation study is then carried out on an arterial road, and the results show that the proposed strategy improves the performance of the traffic system compared to the current timing scheme and M2 has the best performance among all solutions in this paper, and the delay is reduced for about 24%.

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References

  1. Araghi, S., Khosravi, A., Creighton, D.: A review on computational intelligence methods for controlling traffic signal timing. Expert Syst. Appl. 42(3), 1538–1550 (2015)

    Article  Google Scholar 

  2. Saka, A.A., Anandalingam, G., Garber, N.J.: Traffic signal timing at isolated intersections using simulation optimization. In: Conference on Winter Simulation, pp. 795–801 (1986)

    Google Scholar 

  3. Kim, J.: A fuzzy logic control simulator for adaptive traffic management. In: IEEE International Fuzzy Systems Conference, vol. 3, pp. 1519–1524 (1997)

    Google Scholar 

  4. Kim, J., Kim, B.M., Huh, N.C.: Genetic algorithm approach to generate rules and membership functions of fuzzy traffic controller. In: IEEE International Conference on Fuzzy Systems, vol. 1, pp. 525–528 (2001)

    Google Scholar 

  5. Lee, J., Abdulhai, B., Shalaby, A., Chung, E.H.: Real-time optimization for adaptive traffic signal control using genetic algorithms. J. Intell. Transp. Syst. 9(3), 111–122 (2005)

    Article  Google Scholar 

  6. Khamis, M.A., Gomaa, W.: Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework. Eng. Appl. Artif. Intell. 29(3), 134–151 (2014)

    Article  Google Scholar 

  7. Qiao, F., Tan, X.Y., Alexander, T.F.: Optimization of bidirectional green wave of traffic systems on urban arterial road. In: 9th International Conference on Modelling, Identification and Control (ICMIC), pp. 851–856 (2017)

    Google Scholar 

  8. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.M.T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

    Article  Google Scholar 

  9. Arsava, T., Xie, Y., Gartner, N.H., Mwakalonge, J.: Arterial traffic signal coordination utilizing vehicular traffic origin-destination information. In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 2132–2137 (2014)

    Google Scholar 

  10. Ye, B.L., Wu, W., Mao, W.: A two-way arterial signal coordination method with queueing process considered. IEEE Trans. Intell. Transp. Syst. 16(6), 3440–3452 (2015)

    Article  Google Scholar 

  11. Hajbabaie, A., Benekohal, R.F.: A program for simultaneous network signal timing optimization and traffic assignment. IEEE Trans. Intell. Transp. Syst. 16(5), 2573–2586 (2015)

    Article  Google Scholar 

  12. Cho, H.J., Huang, T.J., Huang, C.C.: Path-based MAXBAND with green-split variables and traffic dispersion. Transportmetrica B: Transp. Dyn. 7(1), 726–740 (2019)

    Google Scholar 

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Correspondence to Feng Qiao .

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Liu, T., Qiao, F., Guo, L., Chen, Y. (2021). Multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads. In: Li, Y., Zhu, Q., Qiao, F., Fan, Z., Chen, Y. (eds) Advances in Simulation and Process Modelling. ISSPM 2020. Advances in Intelligent Systems and Computing, vol 1305. Springer, Singapore. https://doi.org/10.1007/978-981-33-4575-1_27

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  • DOI: https://doi.org/10.1007/978-981-33-4575-1_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4574-4

  • Online ISBN: 978-981-33-4575-1

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