Dynamic Control Method and Application of Highway Toll Station Lanes
DOI:
https://doi.org/10.21152/1750-9548.18.1.33Abstract
To address the issue of poor matching of lane allocation with traffic demand and composition, such as exit and entrance of highway toll stations, Electronic Toll Collection (ETC) and Manual Toll Collection (MTC), a dynamic lane control method for highway toll stations is proposed. Based on the lane control method, a mixed integer linear programming optimization model for the optimal opening scheme of toll lanes is established to achieve rational allocation of toll lanes. The results show that when the traffic demand at the entrance is significantly greater than that at the exit, dynamic control will allocate more toll lanes at the entrance. Compared with conventional control, the traffic capacity can be increased by 12.5%, 50% and 33.33%, respectively, under the three traffic schemes. When the traffic demand at the exit is greater than that at the entrance, dynamic control will allocate more toll lanes at the exit. The traffic capacity can be increased by 6.67%, 25%, and 33.33%, respectively, under the three traffic schemes. When the traffic composition at the entrance and exit matches the toll lanes, the traffic capacity and lane allocation of these two control methods are the same. In various traffic scenarios, dynamic control can adjust the lanes at the entrance and exit according to the traffic composition at the entrance of the toll station, so as to accurately match the traffic demand and capacity in all directions of the toll station, and improve the traffic efficiency of the toll station to realize intelligent expansion.
References
Andurkar, G. K., & Ramteke, V. R., “Smart highway electronic toll collection system”, International Journal of Innovative Research in Computer and Communication Engineering, 2015, 3(5): p. 4087-4094. https://doi.org/10.15680/ijircce.2015.0305093
Hua, W., Yue, Y., Wei, Z., Chen, J., & Wang, W., “A cellular automata traffic flow model with spatial variation in the cell width”, Physica A: Statistical Mechanics and Its Applications, 2020, 556: p. 124777. https://doi.org/10.1016/j.physa.2020.124777
Zhi, S., Qunjie, P., Chaolun, W., Wang, X., & Chen, L., “The Influence of Figures in Warning Signs at the Manual Toll Station on the Lane Change Timing of Drivers in the Context of Virtual Reality of High-Proportion ETC Vehicles”, Complexity, 2022, 2022: p. 7121952. https://doi.org/10.1155/2022/7121952
Bari, C. S., Chopde, R., & Dhamaniya, A., “Lane Choice Behavior at Toll Plaza under Mixed Traffic Conditions Using TODIM Method: A Case Study”, Transportation in Developing Economies, 2022, 8(2): p. 26. https://doi.org/10.1007/s40890-022-00163-6
Kim, S., “The toll plaza optimization problem: Design, operations, and strategies”, Transportation Research Part E: Logistics and Transportation Review, 2009, 45(1): p. 125-137. https://doi.org/10.1016/j.tre.2008.03.004
Neuhold, R., Garolla, F., Sidla, O., & Fellendorf, M., “Predicting and Optimizing Traffic Flow at Toll Plazas”, Transportation Research Procedia, 2019, 37: p. 330-337. https://doi.org/10.1016/j.trpro.2018.12.200
Yu, B., & Mwaba, D., “Toll Plaza Lane Choice and Lane Configuration Strategy for Autonomous Vehicles in Mixed Traffic”, Journal of Transportation Engineering, Part A: Systems, 2020, 146(12): p. 04020133. https://doi.org/10.1061/JTEPBS.0000457
Ahmad, S., Ali, N., Ali, S., & Javid, M. A., “A Simulation-Based Study for the Optimization of Toll Plaza with Different Lane Configuration: A Case Study of Ravi Toll Plaza Lahore, Pakistan”, Journal of Applied and Emerging Sciences, 2021, 11(2): p. 157-165. http://dx.doi.org/10.36785/jaes.112491
Wang, P., Zhao, J., Gao, Y., Sotelo, M. A., & Li, Z., “Lane Work-Schedule of Toll Station Based on Queuing Theory and PSO-LSTM Model”, IEEE Access, 2020,8: p. 84434-84443. https://doi.org/10.1109/ACCESS.2020.2992070
Ramandanis, I. D., Politis, I., & Basbas, S., “Assessing the environmental and economic footprint of electronic toll collection lanes: A simulation study”, Sustainability, 2020, 12(22): p. 9578. https://doi.org/10.3390/su12229578
Liu, C.L., Tao, S., Zhao, C., Ji, Y.X., Du, Y.C., “Optimal Deployment of Electronic Toll Collection Lanes for Highway Network”, China Journal of Highway and Transport, 2022, 35(5): p. 179-188. https://doi.org/10.19721/j.cnki.1001-7372.2022.05.017
Kan, X., Lu, X. Y., & Skabardonis, A., “Increasing Highway Capacity by Efficiently Timing its Nearby Arterial Traffic Signals”, Transportation Research Record: Journal of the Transportation Research Board, 2018,2672(18): p. 27-34. https://doi.org/10.1177/0361198118782796
Zhao, J., Ma, W., & Xu, H., “Increasing the capacity of the intersection downstream of the highway off‐ramp using presignals”, Computer‐Aided Civil and Infrastructure Engineering, 2017, 32(8): p. 674-690. https://doi.org/10.1111/mice.12281
Chen, Y. Y., Chen, Y. H., & Chang, G. L., “Optimizing the integrated off-ramp signal control to prevent queue spillback to the highway mainline”, Transportation Research Part C: Emerging Technologies, 2021, 128: p. 103220. https://doi.org/10.1016/j.trc.2021.103220
Pérez-Acebo, H., Romo-Martín, A., & Findley, D. J., “Spatial distribution and the facility evaluation of the service and rest areas in the toll motorway network of the European Union”, Applied Spatial Analysis and Policy, 2022, 15(3): p. 821-845. https://doi.org/10.1007/s12061-021-09421-3
Wang, P., Zhang, Y., Wang, S., Li, L., & Li, X., “Forecasting travel speed in the rainfall days to develop suitable variable speed limits control strategy for less driving risk”, Journal of Advanced Transportation, 2021, 2021: p. 6639559. https://doi.org/10.1155/2021/6639559
Kumar, A., Thakare, A., & Tawalare, A., “Strategy to Reduce Queuing Time at Toll Plaza”, In: Mathew, T., Joshi, G., Velaga, N., Arkatkar, S. (eds) Transportation Research. Lecture Notes in Civil Engineering, Springer, Singapore, 2020,45: p. 453-464. https://doi.org/10.1007/978-981-32-9042-6_36
An, W., Gao, J., Song, L., & Li, Y., “Intelligent Opening Optimization Algorithm of Expressway Toll Channel Based on Lane Control”, International Journal of Robotics and Automation, 2022, 37(6): p. 1-7. DOI: 10.2316/J.2022.206-0809
Qiao, J.G., Li, E.Y., Liu, Y.M., Peng, R., Tao, R., “Study on the number of tidal lanes open at smart highway toll stations”, Journal of Hebei University of Science and Technology, 2023, 44(1): p. 83-92. https://doi.org/10.7535/hbkd.2023yx01010
Wu, W., Liu, Y., Liu, W., Zhang, F., Dixit, V., & Waller, S. T., “Autonomous intersection management for connected and automated vehicles: A lane-based method”, IEEE Transactions on Intelligent Transportation Systems, 2021, 23(9): p. 15091-15106. https://doi.org/10.1109/TITS.2021.3136910
Tang, Q., & Sohr, A., “Exit lane allocation with the lane-based signal optimization method at isolated intersections”, Canadian Journal of Civil Engineering, 2020, 47(12): p. 1345-1358. https://doi.org/10.1139/cjce-2019-0306
Published
How to Cite
Issue
Section
Copyright (c) 2024 N Yan, J Tan, W An, J Gao
This work is licensed under a Creative Commons Attribution 4.0 International License.