References
- Abbas, M., Bullock, D., & Head, L. (2001). Real-time offset transitioning algorithm for coordinating traffic signals. Transportation Research Record: Journal of the Transportation Research Board, 1748(1), 26–39. https://doi.org/10.3141/1748-04
- Cai, C., Wong, C. K., & Heydecker, B. G. (2009). Adaptive traffic signal control using approximate dynamic programming. Transportation Research Part C: Emerging Technologies, 17(5), 456–474. https://doi.org/10.1016/j.trc.2009.04.005
- Chen, B. K., Sun, J., Zhou, D., Wong, W. F., Gao, Y. C., & Ding, Z. J. (2020). A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles. Information Sciences, 529, 59–72. https://doi.org/10.1016/j.ins.2020.02.009
- Chen, B. K., Wang, D. Z. W., Gao, Y. C., Zhang, K., Miao, L. X., & Wang, B. H. (2018). Effects of traffic lights for manhattan-like urban traffic network in intelligent transportation systems. Transportmetrica B: Transport Dynamics, 6(1), 4–16. https://doi.org/10.1080/21680566.2016.1216810
- Ding, Z. J., Chen, B. K., Zhang, L. L., Jiang, R., Wu, Y., & Ding, J. X. (2019a). Segment travel time route guidance strategy in advanced traveler information systems. Physica A: Statistical Mechanics and Its Applications, 534, 120432. 1–13.
- Ding, Z., Liu, T., Lou, X., Shen, Z., Zhu, K., Jiang, R., Wang, B., & Chen, B. (2019b). Mean-field analysis for Asymmetric Exclusion Processes on two parallel lattices with fully parallel dynamics. Physica A: Statistical Mechanics and Its Applications, 516, 317–326. https://doi.org/10.1016/j.physa.2018.09.167
- El-Tantawy, S., Abdulhai, B., & Abdelgawad, H. (2013). Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto. IEEE Transactions on Intelligent Transportation Systems, 14(3), 1140–1150. https://doi.org/10.1109/TITS.2013.2255286
- Fellendorf, M. (1994). Vissim: A microscopic simulation tool to evaluate actuated signal control including bus priority. 64th Ite Annual Meeting, 32, 1–9.
- Feng, Y. H., Head, K., L., Khoshmagham, S., & Zamanipour, M. (2015). A real-time adaptive signal control in a connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, 460–473. https://doi.org/10.1016/j.trc.2015.01.007
- Gartner, N. H. (1983). Opac: A demand-responsive strategy for traffic signal control. Transportation Research Record, 906, 75–81.
- Hadi, M., Wallace, C., & Jacks, C. (1999). Transyt-7f simulation model for congested conditions [Paper presentation]. 78th Annual TRB Meeting, Washington.
- Henry, J. J., Farges, J. L., & Tuffal, J. (1983). The prodyn real time traffic algorithm [Paper presentation]. Proceedings of the 4th IFAC Symposium on Trasportation Systems, 307–12.
- Hunt, P., Robertson, D., Bretherton, R., & Royle, M. C. (1982). The scoot on-line traffic signal optimisation technique. Traffic Engineering and Control, 23, 190–192.
- Jiang, Y. Q., Chen, B. K., Li, X., & Ding, Z. J. (2020). Dynamic navigation field in the social force model for pedestrian evacuation. Applied Mathematical Modelling, 80, 815–826. https://doi.org/10.1016/j.apm.2019.10.016
- Jiang, Y., Q., S., G., Zhou, B. K. & Chen, (2018). Fixed-point fast sweeping weighted essentially non-oscillatory method for multi-commodity continuum traffic equilibrium assignment problem. Applied Mathematical Modelling , 62, 404–414. https://doi.org/10.1016/j.apm.2018.04.014
- Kirkpatrick, S., C., D., Gelatt, M. P. & Vecchi, (1983). Optimization by simulated annealing. Science, 220(4598), 671–680. https://doi.org/10.1126/science.220.4598.671
- Kutadinata, R., Moase, W., Manzie, C., Zhang, L. L., & Garoni, T. (2016). Enhancing the performance of existing urban traffic light control through extremum-seeking. Transportation Research Part C: Emerging Technologies, 62, 1–20. https://doi.org/10.1016/j.trc.2015.10.016
- Li, Q. (2007). Arterial road travel time study using probe vehicle data [Ph.D. thesis]. Nagoya University.
- Li, Q. (2010). Study on the methods of congestion identification for urban roads based on probe vehicles system [Ph.D. thesis]. Tsinghua University.
- Little, J. D. C., Kelson, M. D., & Gartner, N. H. (1981). MAXBAND: A program for setting signals on arteries and triangular networks. Transportation Research Record: Journal of the Transportation Research Board, 794, 40–46. https://doi.org/10.1177/0361198196155400102
- Lowrie, P. R. (1982). The sydney coordinated adaptive traffic system-principles, methodology, algorithms [Paper presentation]. International Conference on Road Traffic Signalling, 67–70.
- Ma, W. J., An, K., & Lo, H. K. (2016). Multi-stage stochastic program to optimize signal timings under coordinated adaptive control. Transportation Research Part C: Emerging Technologies , 72, 342–359. https://doi.org/10.1016/j.trc.2016.10.002
- McShane, W., Crowley, K., Lee, B., & Casey, T. (1978). Traffic control in oversaturated street networks (NCHRP Report 194).
- Michalopoulos, P. G., & Stephanopoulos, G. (1977). Oversaturated signal systems with queue length constraints: Single intersection. Transportation Research, 11(6), 413–421. https://doi.org/10.1016/0041-1647(77)90006-5
- Michalopoulos, P. G., & Stephanopoulos, G. (1999). Oversaturated signal systems with queue length constraints: Systems of intersections. Transportation Research, 11(6), 423–428. https://doi.org/10.1016/0041-1647(77)90007-7
- Mirchandani, P., & Head, L. (2001). A real-time traffic signal control system: architecture, algorithms, and analysis. Transportation Research Part C: Emerging Technologies, 9(6), 415–432. https://doi.org/10.1016/S0968-090X(00)00047-4
- Owen, L., & Stallard, C. (1999). Rule-based approach to real-time distributed adaptive signal control. Transportation Research Record: Journal of the Transportation Research Board, 1683(1), 95–101. https://doi.org/10.3141/1683-12
- Rathi, A. K. (1988). A control scheme for high traffic density sectors. Transportation Research Part B: Methodological, 22(2), 81–101. https://doi.org/10.1016/0191-2615(88)90008-2
- Ren, Y. L., Wang, Y. P., Yu, G. X., Liu, H., & Xiao, L. (2017). An adaptive signal control scheme to prevent intersection traffic blockage. IEEE Transactions on Intelligent Transportation Systems, 18, 1519–1528.
- Robertson, D. I., & Bretherton, R. D. (1974). Optimum control of an intersection for any known sequence of vehicle arrivals [Paper presentation]. Proceedings of the 2nd IFAC/IFIP/IFORS Symposium on Traffic Control and Transportation Systems.
- Roess, R. P., Prassas, E. S., & Mcshane, W. R. (2011). Traffic engineering. Pearson/Prentice Hall.
- Sims, A. G., & Dobinson, K. W. (1980). The sydney coordinated adaptive traffic(scat) system philosophy and benefits. IEEE Transactions on Vehicular Technology, 29(2), 130–137. https://doi.org/10.1109/T-VT.1980.23833
- Suzuki, H., Imura, J. I., & Aihara, K. (2013). Chaotic ising-like dynamics in traffic signals. Scientific Reports, 3(1), 1–6. https://doi.org/10.1038/srep01127
- Tian, D., Zhou, J., Sheng, Z., Wang, Y., & Ma, J. (2016). From cellular attractor selection to adaptive signal control for traffic networks. Scientific Reports, 6(1), 1–15. https://doi.org/10.1038/srep23048
- Tiaprasert, K., Zhang, Y. L., Wang, X. B., Zeng, X. S., & Garoni, T. (2015). Queue length estimation using connected vehicle technology for adaptive signal control. IEEE Transactions on Intelligent Transportation Systems, 16(4), 2129–2140. https://doi.org/10.1109/TITS.2015.2401007
- Timotheou, S., Panayiotou, C. G., & Polycarpou, M. M. (2015). Distributed traffic signal control using the cell transmission model via the alternating direction method of multipliers. IEEE Transactions on Intelligent Transportation Systems, 16(2), 919–933.
- Webster, V. (1958). Traffic signal settings. Book:Road Research Technical Paper.
- Wu, J. C., Chen, B. K., Zhang, K., Zhou, J., & Miao, L. X. (2018). Ant pheromone route guidance strategy in intelligent transportation systems. Physica A: Statistical Mechanics and Its Applications, 503, 591–603. https://doi.org/10.1016/j.physa.2018.02.046
- Yu, C., Ma, W., Han, K., & Yang, X. (2017). Optimization of vehicle and pedestrian signals at isolated intersections. Transportation Research Part B: Methodological , 98, 135–153. https://doi.org/10.1016/j.trb.2016.12.015
- Yu, X. H., & Recker, W. W. (2006). Stochastic adaptive control model for traffic signal systems. Transportation Research Part C: Emerging Technologies, 14(4), 263–282. https://doi.org/10.1016/j.trc.2006.08.002
- Zaidi, A. A., Kulcsar, B., & Wymeersch, H. (2016). Back-pressure traffic signal control with fixed and adaptive routing for urban vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 17(8), 2134–2143. https://doi.org/10.1109/TITS.2016.2521424
- Zhang, L., Li, H., & Prevedouros, P. D. (2008). Signal control for oversaturated intersections using fuzzy logic [Paper presentation]. Transportation and Development Innovative Best Practices, 179–184. https://doi.org/10.1061/40961(319)30