Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls

Abstract:

Previously, intelligent transportation control systems have been widely used to improve traffic safety on roadways. Among them, dynamic speed control is a novel technique that has been increasingly used for reducing collision risks. However, previous studies did not consider using any heuristic searching algorithm to obtain the optimal solution to improve traffic safety. The objective of this study is to evaluate the application of using heuristic searching algorithm to optimize the safety effects of dynamic speed control system. The results showed that the evolution process in the heuristic searching algorithm can promote the strategy towards better solutions for the optimization of the safety effects of dynamic speed control. The optimal control reduces collision risks by 12.7% and increased travel time only by 1.4%.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 937-941
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.937
• Online since: August 2014
• Authors: Hua Tao*, Li Wei Zhu
• Keywords: Heuristic Searching, Intelligent Transportation System (ITS), Optimization, Speed Control

References

[1] Lee, C., Hellinga, B. & Saccomanno, F. (2003), Real-time-crash prediction model for application to crash prevention in freeway traffic, Transportation Research Record, 1840, 67-77.

DOI: 10.3141/1840-08

[2] Abdel-Aty, M., Uddin, U. & Pande, A. (2005), Split models for predicting multivehicle crashes during high-speed and low-speed operating conditions on freeways, Transportation Research Record, 1908, 51-58.

DOI: 10.1177/0361198105190800107

[3] Oh, C., Oh, J. & Ritchie, S. (2005), Real-time hazardous traffic condition warning system: framework and evaluation, IEEE Transactions on Intelligent Transportation Systems, 6(3), 265-272.

DOI: 10.1109/tits.2005.853693

[4] Zheng, Z.D., Ahn, S. & Monsere, C.M. (2010), Impact of traffic oscillations on freeway crash occurrences, Accident Analysis & Prevention, 42(2), 626-636.

DOI: 10.1016/j.aap.2009.10.009

[5] Li, Z., Wang, W., Chen, R., Liu, P. & Xu, C. (2013a), Evaluation of the impacts of speed variation on freeway traffic collisions in various traffic states, Traffic Injury Prevention, 14(8), 861-866.

DOI: 10.1080/15389588.2013.775433

[6] Li, Z., Chung, K. & Cassidy, M.J. (2013b), Collisions in Freeway Traffic: Influence of Downstream Queues and Interim Means to Address Them. Transportation Research Record, 2396, 1-9.

DOI: 10.3141/2396-01

[7] Li, Z., Ahn, S., Chung, K., Ragland, D.R., Wang, W. & Yu, J.W. (2013c). Surrogate safety measure for evaluating rear-end collision risk related to kinematic waves near freeway recurrent bottlenecks. Accident Analysis & Prevention, 64, 52–61.

DOI: 10.1016/j.aap.2013.11.003

[8] Papageorgiou, M. & Kotsialos, A. (2002), Freeway ramp metering: An overview, IEEE Transactions on Intelligent Transportation Systems, 3(4), 271-281.

DOI: 10.1109/tits.2002.806803

[9] Carlson, R.C., Papamichail, I., Papageorgiou, M. & Messmer, A. (2010), Optimal mainstream traffic flow control of large-scale motorway networks, Transportation Research Part C: Emerging Technologies, 18(2), 193-212.

DOI: 10.1016/j.trc.2009.05.014

[10] Li, Z., Wang, W., Liu, P., Bigham, J. & Ragland, D.R. (2013d). Using Geographically Weighted Poisson Regression for county-level crash modeling in California. Safety Science, 58, 89–97.

DOI: 10.1016/j.ssci.2013.04.005

[11] Zhang, G. & Wang, Y. (2013), Optimizing coordinated ramp metering: A preemptive hierarchical control approach, Computer-Aided Civil and Infrastructure Engineering, 28(1), 22-37.

DOI: 10.1111/j.1467-8667.2012.00764.x

[12] Lee, C., Hellinga, B. & Saccomanno, F. (2006), Evaluation of variable speed limits to improve traffic safety, Transportation Research Part C: Emerging Technologies, 14(3), 213-228.

DOI: 10.1016/j.trc.2006.06.002

[13] Abdel-Aty, M., Dilmore, J. & Dhindsa, A. (2006), Evaluation of variable speed limits for real-time freeway safety improvement, Accident Analysis & Prevention, 38(2), 335-345.

DOI: 10.1016/j.aap.2005.10.010

[14] Allaby, P., Hellinga, B. & Bullock, M. (2007), Variable speed limits: Safety and operational impacts of a candidate control strategy for freeway applications, IEEE Transactions on Intelligent Transportation Systems, 8(4), 671-680.

DOI: 10.1109/tits.2007.908562

[15] Hellinga, B. & Mandelzys, M. (2011), Impact of driver compliance on the safety and operational impacts of freeway variable speed limit systems, Journal of Transportation Engineering-ASCE, 137(4), 208-268.

DOI: 10.1061/(asce)te.1943-5436.0000214

[16] Daganzo, C.F. (1994), The cell transmission model - A dynamic representation of highway traffic consistent with the hydrodynamic theory, Transportation Research Part B: Methodological, 28(4), 269-287.

DOI: 10.1016/0191-2615(94)90002-7