Case-Based Reasoning for Improving Traffic Flow in Urban Intersections
Congestion in urban areas is a main traffic challenge. Solutions to this problem include building more roads or have more people in each vehicle. Each of these presents their own challenges. However, one inexpensive approach is to improve the traffic flow, in particular by improving signal plans in intersections. We present a prototype case-based reasoning system, which can control traffic lights in an urban intersection. The system uses real historical vehicle counts from an intersection to make new signal plans. jCOLIBRI is used as the framework for the case-based reasoning system and an evolutionary algorithm is used for weighting the cases. Simulations carried out in Aimsun, a simulation tool used by the Norwegian Public Roads Administration, indicates that satisfactory signal plans can be made in a variety of scenarios.
KeywordsIntelligent transportation systems traffic flow application of CBR evolutionary algorithm
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- 1.Elkosantini, S., Darmoul, S.: Intelligent public transportation systems: A review of architectures and enabling technologies. In: 2013 International Conference on Advanced Logistics and Transport (ICALT), pp. 233–238 (2013)Google Scholar
- 4.De Schutter, B., Hoogendoorn, S., Schuurman, H., Stramigioli, S.: A multi-agent case-based traffic control scenario evaluation system. In: Proceedings of the 2003 IEEE Intelligent Transportation Systems, vol. 1, pp. 678–683 (2003)Google Scholar
- 6.Li, K., Waters, N.: Transportation networks, case-based reasoning and traffic collision analysis: A methodology for the 21st century. In: Reggiani, A., Schintler, L.A. (eds.) Methods and Models in Transport and Telecommunications. Advances in Spatial Science, pp. 63–92. Springer, Heidelberg (2005)CrossRefGoogle Scholar
- 9.Zohdy, I.H., Rakha, H.A.: Intersection management via vehicle connectivity: The intersection cooperative adaptive cruise control system concept. Journal of Intelligent Transportation Systems (2014)Google Scholar
- 10.Zhenlong, L., Xiaohua, Z.: A case-based reasoning approach to urban intersection control. In: 7th World Congress on Intelligent Control and Automation (WCICA 2008), pp. 7113–7118 (2008)Google Scholar
- 11.Nakamiti, G., da Silva, V.E., Ventura, J.H., da Silva, S.A.: Urban traffic control and monitoring – an approach for the Brazilian intelligent cities project. In: Wang, Y., Li, T. (eds.) Practical Applications of Intelligent Systems. AISC, vol. 124, pp. 543–551. Springer, Heidelberg (2011)CrossRefGoogle Scholar
- 12.Webster, F.V.: Traffic Signal Settings. Road Research Technical Paper No. 39. Great Britain Road Research Laboratory (1958)Google Scholar
- 13.Vegvesen, S.: Trafikksignalanlegg: planlegging, drift og vedlikehold, Håndbok 142 (2007)Google Scholar
- 14.Aurstad, J., et al.: Textbook – Road Operation and Maintenance. Traffic Safety, Environment and Technology Department (2011)Google Scholar