Abstract
Appropriate traffic coordination at intersections where multiple roads merge plays an important role in modern intelligent transportations systems. In this paper, we try to propose an efficient traffic coordination framework using multiple collision sets. Aiming at the essentially non-convex problem, we try to reformulate the original problem into a mixed binary integer quadratic programming one by proper relaxations. Low complexity solutions are also given afterwards. Numeric results show that the traffic throughput at intersections can be significantly improved compared to the existing investigations.
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Acknowledgements
This paper was supported by the Natural Science Foundation of China (under Grant No. 91638204 and 61771159), Guangdong Natural Science Foundation under Grant No. 2017A030313392, Shenzhen Fundamental Research Project (under Grant No. JCYJ2017081115369780 and JCYJ20160318094236224).
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Mo, Y., Wang, M., Zhang, T., Xu, H. (2020). Efficient Traffic Coordination Strategies at Intersections Using Multiple Collision Sets. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_124
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DOI: https://doi.org/10.1007/978-981-13-6508-9_124
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