Effects of Variable Speed Limit on Energy Consumption with Autonomous Vehicles on Urban Roads Using Modified Cell-Transmission Model
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7
Abstract
Autonomous vehicles create new opportunities for innovative intelligent traffic systems. Variable speed limit (VSL), which is a speed management system that can adjust the speed limit according to traffic conditions or a predefined speed control algorithm on different road segments, can be better implemented with the cooperation of autonomous vehicles. These compliant vehicles can automatically follow speed limits. However, noncompliant vehicles will attempt to pass the moving bottleneck created by compliant vehicles. This study builds a multiclass cell-transmission model (CTM) to represent the relation among traffic flow parameters. This model calculates flows of both compliant and noncompliant vehicles between road segments. An VSL algorithm is proposed to reduce the stop-and-go behavior of vehicles at traffic signals and to save energy consumption. Simulation is used to test the effects of VSLs on an example network. The result shows that VSLs are effective at reducing the energy consumption of the whole system.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The work described in this paper was supported by the grant sponsored by the Roadway Safety Institute.
References
Abdel-Aty, M., J. Dilmore, and A. Dhindsa. 2006. “Evaluation of variable speed limits for real-time freeway safety improvement.” Accid. Anal. Prev. 38 (2): 335–345. https://doi.org/10.1016/j.aap.2005.10.010.
Asadi, B., and A. Vahidi. 2011. “Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time.” IEEE Trans. Control Syst. Technol. 19 (3): 707–714. https://doi.org/10.1109/TCST.2010.2047860.
Barth, M., S. Mandava, K. Boriboonsomsin, and H. Xia. 2011. “Dynamic eco-driving for arterial corridors.” In Proc., 2011 IEEE Forum on Integrated and Sustainable Transportation System, 182–188. New York: IEEE.
Carlson, R. C., A. Ragias, I. Papamichail, and M. Papageorgiou. 2011. “Mainstream traffic flow control of merging motorways using variable speed limits.” In Proc., 2011 19th Mediterranean Conf. on Control & Automation, 674–681. New York: IEEE.
Courant, R., K. Friedrichs, and H. Lewy. 1967. “On the partial difference equations of mathematical physics.” IBM J. Res. Dev. 11 (2): 215–234. https://doi.org/10.1147/rd.112.0215.
Daganzo, C. F. 1994. “The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory.” Transp. Res. Part B Methodol. 28 (4): 269–287. https://doi.org/10.1016/0191-2615(94)90002-7.
Daganzo, C. F. 1995. “The cell transmission model, Part II: Network traffic.” Transp. Res. Part B Methodol. 29 (2): 79–93. https://doi.org/10.1016/0191-2615(94)00022-R.
Daganzo, C. F., and J. A. Laval. 2005. “Moving bottlenecks: A numerical method that converges in flows.” Transp. Res. Part B Methodol. 39 (9): 855–863. https://doi.org/10.1016/j.trb.2004.10.004.
Garcia-Castro, A., and A. Monzon. 2014. “Homogenization effects of variable speed limits.” Transport Telecommun. J. 15 (2): 130–143. https://doi.org/10.2478/ttj-2014-0012.
Godunov, S. K. 1959. “A difference method for numerical calculation of discontinuous solutions of the equations of hydrodynamics.” Matematicheskii Sbornik 89 (3): 271–306.
Hadiuzzaman, M., and T. Z. Qiu. 2013. “Cell transmission model based variable speed limit control for freeways.” Can. J. Civ. Eng. 40 (1): 46–56. https://doi.org/10.1139/cjce-2012-0101.
He, X., H. X. Liu, and X. Liu. 2015. “Optimal vehicle speed trajectory on a signalized arterial with consideration of queue.” Transp. Res. Part C Emerging Technol. 61 (Dec): 106–120. https://doi.org/10.1016/j.trc.2015.11.001.
He, Z., L. Zheng, L. Song, and N. Zhu. 2017. “A jam-absorption driving strategy for mitigating traffic oscillations.” IEEE Trans. Intell. Transp. Syst. 18 (4): 802–813. https://doi.org/10.1109/TITS.2016.2587699.
Hegyi, A., B. De Schutter, and J. Heelendoorn. 2003. “MPC-based optimal coordination of variable speed limits to suppress shock waves in freeway traffic.” In Vol. 5 of Proc., 2003 American Control Conf., 4083–4088. New York: IEEE.
Hegyi, A., B. De Schutter, and H. Hellendoorn. 2005a. “Model predictive control for optimal coordination of ramp metering and variable speed limits.” Transp. Res. Part C Emerging Technol. 13 (3): 185–209. https://doi.org/10.1016/j.trc.2004.08.001.
Hegyi, A., B. De Schutter, and J. Hellendoorn. 2005b. “Optimal coordination of variable speed limits to suppress shock waves.” IEEE Trans. Intell. Transp. Syst. 6 (1): 102–112. https://doi.org/10.1109/TITS.2004.842408.
Hellinga, B., and M. Mandelzys. 2011. “Impact of driver compliance on the safety and operational impacts of freeway variable speed limit systems.” J. Transp. Eng. 137 (4): 260–268. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000214.
Khondaker, B., and L. Kattan. 2015. “Variable speed limit: An overview.” Transp. Lett. 7 (5): 264–278. https://doi.org/10.1179/1942787514Y.0000000053.
Kwon, E., D. Brannan, K. Shouman, C. Isackson, and B. Arseneau. 2007. “Development and field evaluation of variable advisory speed limit system for work zones.” Transp. Res. Rec. 2015 (1): 12–18. https://doi.org/10.3141/2015-02.
Levin, M., M. Duell, and S. Waller. 2014. “Effect of road grade on networkwide vehicle energy consumption and ecorouting.” Transp. Res. Rec. 2427 (1): 26–33. https://doi.org/10.3141/2427-03.
Lighthill, M. J., and G. B. Whitham. 1955. “On kinematic waves II. A theory of traffic flow on long crowded roads.” Proc. R. Soc. London, Ser. A 229 (1178): 317–345. https://doi.org/10.1098/rspa.1955.0089.
Richards, P. I. 1956. “Shock waves on the highway.” Oper. Res. 4 (1): 42–51. https://doi.org/10.1287/opre.4.1.42.
Sanchez, M., J.-C. Cano, and D. Kim. 2006. “Predicting traffic lights to improve urban traffic fuel consumption.” In Proc., 2006 6th Int. Conf. on ITS Telecommunications, 331–336. New York: IEEE.
Simoni, M. D., and C. G. Claudel. 2017. “A fast simulation algorithm for multiple moving bottlenecks and applications in urban freight traffic management.” Transp. Res. Part B Methodol. 104 (Oct): 238–255. https://doi.org/10.1016/j.trb.2017.06.010.
Simpson, A. G. 2005. “Parametric modelling of energy consumption in road vehicles.” Ph.D. dissertation, School of Information Technology and Electrical Engineering, Univ. of Queensland.
Talebpour, A., H. Mahmassani, and S. Hamdar. 2013. “Speed harmonization: Evaluation of effectiveness under congested conditions.” Transp. Res. Rec. 2391 (1): 69–79. https://doi.org/10.3141/2391-07.
Ubiergo, G. A., and W. Jin. 2016. “Mobility and environment improvement of signalized networks through vehicle-to-infrastructure (V2I) communications.” Transp. Res. Part C Emerging Technol. 68 (Jul): 70–82. https://doi.org/10.1016/j.trc.2016.03.010.
Wasson, J., G. Boruff, A. Hainen, S. Remias, E. Hulme, G. Farnsworth, and D. Bullock. 2011. “Evaluation of spatial and temporal speed limit compliance in highway work zones.” Transp. Res. Rec. 2258 (1): 1–15. https://doi.org/10.3141/2258-01.
Zhu, F., and S. V. Ukkusuri. 2018. “Modeling the proactive driving behavior of connected vehicles: A cell-based simulation approach.” Comput.-Aided Civ. Infrastruct. Eng. 33 (4): 262–281. https://doi.org/10.1111/mice.12289.
Ziliaskopoulos, A. K. 2000. “A linear programming model for the single destination system optimum dynamic traffic assignment problem.” Transp. Sci. 34 (1): 37–49. https://doi.org/10.1287/trsc.34.1.37.12281.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 7 • July 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Mar 1, 2019
Accepted: Jan 13, 2020
Published online: Apr 18, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 18, 2020
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