Abstract
The optimization of traffic signal control has become a significant issue concerned by the whole society with the increasingly travel demands and the rise of vehicles on roadways. As one of the mature optimization, the Controlled Optimization of Phases (COP) plays an important role at traditional isolated intersections with 8 phases. In recent years, however, few previous studies have investigated the applicability of this algorithm at real heterogeneous intersections. In this paper, we propose an improved COP algorithm, in which we implement a Phase Processing method and embed an adaptor by reorganizing the workflow before the generation of signal timing plan. We are the first to extend the COP to support 4 phases of 3-direction intersection, aiming to push the development of COP, as a distributed and independently-deployed algorithm, towards more real but heterogeneous intersections. We respectively conduct the experiment at intersections with 4 phases and 8 phases and compare the detailed performance including average vehicle delay under different traffic flow. The results show the effectiveness and possibility of our method applying to heterogeneous intersections to some extent.
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References
Allsop, R.E.: Delay-minimizing settings for fixed-time traffic signals at a single road junction. IMA J. Appl. Math. 8(2), 164–185 (1971)
Atia, M.M., Karamat, T., Noureldin, A.: An enhanced 3D multi-sensor integrated navigation system for land-vehicles. J. Navig. 67(4), 651–671 (2014)
Cai, C., Wong, C.K., Heydecker, B.G.: Adaptive traffic signal control using approximate dynamic programming. Transp. Res. Part C Emerg. Technol. 17(5), 456–474 (2009)
Chiang, H.-H., Chen, Y.-L., Bing-Fei, W., Lee, T.-T.: Embedded driver-assistance system using multiple sensors for safe overtaking maneuver. IEEE Syst. J. 8(3), 681–698 (2012)
Feng, Y., Head, K.L., Khoshmagham, S., Zamanipour, M.: A real-time adaptive signal control in a connected vehicle environment. Transp. Res. Part C Emerg. Technol. 55, 460–473 (2015)
Grether, D., Bischoff, J., Nagel, K.: Traffic-actuated signal control: simulation of the user benefits in a big event real-world scenario. In: 2nd International Conference on Models and Technologies for ITS, Leuven, Belgium, pp. 11–12 (2011)
Hu, H., Gao, Y., Yang, X.: Multi-objective optimization method of fixed-time signal control of isolated intersections. In: 2010 International Conference on Computational and Information Sciences, pp. 1281–1284. IEEE (2010)
Inoue, H., Osawa, S., Yashiki, A., Makino, H.: Dedicated short-range communications (DSRC) for ahs services. In: IEEE Intelligent Vehicles Symposium, pp. 369–374 (2004)
Li, Z., Elefteriadou, L., Ranka, S.: Signal control optimization for automated vehicles at isolated signalized intersections. Transp. Res. Part C Emerg. Technol. 49, 1–18 (2014)
Lu, N., Cheng, N., Zhang, N., Shen, X., Mark, J.W.: Connected vehicles: solutions and challenges. IEEE Internet Things J. 1(4), 289–299 (2014)
Sen, S., Head, K.L.: Controlled optimization of phases at an intersection. Transp. Sci. 31(1), 5–17 (1997)
Siegel, J.E., Erb, D.C., Sarma, S.E.: A survey of the connected vehicle landscape-architectures, enabling technologies, applications, and development areas. IEEE Trans. Intell. Transp. Syst. 19(8), 2391–2406 (2017)
Thunig, T., Scheffler, R., Strehler, M., Nagel, K.: Optimization and simulation of fixed-time traffic signal control in real-world applications. Procedia Comput. Sci. 151, 826–833 (2019)
Wang, F.-Y., Zhang, H., Liu, D.: Adaptive dynamic programming: an introduction. IEEE Comput. Intell. Mag. 4(2), 39–47 (2009)
Wei, H., Zheng, G., Gayah, V., Li, Z.: A survey on traffic signal control methods. arXiv preprint arXiv:1904.08117 (2019)
Wong, W., Shen, S., Zhao, Y., Liu, H.X.: On the estimation of connected vehicle penetration rate based on single-source connected vehicle data. Transp. Res. Part B Methodol. 126, 169–191 (2019)
Jiaming, W., Liu, P., Qin, X., Zhou, H., Yang, Z.: Developing an actuated signal control strategy to improve the operations of contraflow left-turn lane design at signalized intersections. Transp. Res. Part C Emerg. Technol. 104, 53–65 (2019)
Xiang, Y., et al.: Congestion attack detection in intelligent traffic signal system: combining empirical and analytical methods. Secur. Commun. Netw. 2021 (2021). Hindawi
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Qiao, Z. et al. (2022). Adapting on Road Traffic-Oriented Controlled Optimization of Phases to Heterogeneous Intersections. In: Shi, Z., Zucker, JD., An, B. (eds) Intelligent Information Processing XI. IIP 2022. IFIP Advances in Information and Communication Technology, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-03948-5_42
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DOI: https://doi.org/10.1007/978-3-031-03948-5_42
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