An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach

Akpinar, S. and Bayhan, G.M. (2010). A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints, Engineering Applications of Artificial Intelligence24(3): 449-457.10.1016/j.engappai.2010.08.006Search in Google Scholar

Aotani, T., Yamaoka, S. and Tajima, T. (2002). Research & development of driving safety support systems, Proceedingsof the 41st SICE Annual Conference, Osaka, Japan, Vol. 3, pp. 1792-1797.Search in Google Scholar

Aytug, H., Khouja, M. and Vergara, F.E. (2003). Use of genetic algorithms to solve production and operations management problems: A review, International Journal of ProductionResearch 41(17): 3995-4009.10.1080/00207540310001626319Search in Google Scholar

Belter, D. and Skrzypczyński, P. (2010). A biologically inspired approach to feasible gait learning for a hexapod robot, InternationalJournal of Applied Mathematics and ComputerScience 20(1): 69-84, DOI: 10.2478/v10006-010-0005-7.10.2478/v10006-010-0005-7Search in Google Scholar

Bertolazzi, E., Biral, F., Da Lio, M., Saroldi, A. and Tango, F. (2010). Supporting drivers in keeping safe speed and safe distance: The SASPENCE subproject within the European Framework Programme 6 Integrating Project Prevent, IEEE Transactions on Intelligent TransportationSystems 11(3): 525-538.10.1109/TITS.2009.2035925Search in Google Scholar

Chisalita, L. and Shahmehri, N. (2002). A peer-to-peer approach to vehicular communication for the support of traffic safety applications, Proceedings of the IEEE 5th InternationalConference on Intelligent Transportation Systems, Singapore, pp. 336-341.Search in Google Scholar

Dresner, K. and Stone, P. (2004). Multiagent traffic management: A reservation-based intersection control mechanism, Proceedings of Autonomous Agents andMultiagent Systems AAMAS’04, New York, NY, USA, pp. 530-537.Search in Google Scholar

Dresner, K. and Stone, P. (2006). Traffic intersections of the future, Proceedings of the 21st National Conference on ArtificialIntelligence, Boston, MA, USA, pp. 1593-1596.Search in Google Scholar

Dridi, M. and Kacem, I. (2004). A hybrid approach for scheduling transportation networks, International Journalof Applied Mathematics and Computer Science14(3): 397-409.Search in Google Scholar

Fang, F. and Elefteriadou, L. (2006). Development of an optimization methodology for adaptive traffic signal control at diamond interchanges, Journal of TransportationEngineering 132(8): 629-637.10.1061/(ASCE)0733-947X(2006)132:8(629)Search in Google Scholar

Gradinescu, V., Gorgorin, C., Diaconescu, R., Cristea, V. and Iftode, L. (2007). Adaptive traffic lights using car-to-car communication, Proceedings of the IEEE 65th VehicularTechnology Conference, VTC2007-Spring, Dublin, Ireland, pp. 21-25.Search in Google Scholar

Hall, R. W. and Papageorgiou, M. (1999). Handbook ofTransportation Science, Springer, New York, NY/Boston, MA/Dordrecht/London/Moscow.Search in Google Scholar

Hart, E., Ross, P. and Corne, D. (2005). Evolutionary scheduling: A review, Genetic Programming and EvolvableMachines 6(2): 191-220.10.1007/s10710-005-7580-7Search in Google Scholar

Huang, Q. and Miller, R. (2003). The design of reliable protocols for wireless traffic signal systems, Technical report, Department of Computer Science and Engineering, Washington University, Saint Louis, MO.Search in Google Scholar

Hunt, P. (1982). The scoot on-line traffic signal optimization technique, Traffic Engineering & Control 23(4): 190-192.Search in Google Scholar

Kashan, A., Karimi, B. and Jenabi, M. (2008). A hybrid genetic heuristic for scheduling parallel batch processing machines with arbitrary job sizes, Computers & Operations Research35(4): 1084-1098.10.1016/j.cor.2006.07.005Search in Google Scholar

Kato, S., Tsugawa, S., Tokuda, K., Matsui, T. and Fujii, H. (2002). Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications, IEEE Transactions of Intelligent Transportation Systems3(3): 155-161.10.1109/TITS.2002.802929Search in Google Scholar

Lachner, R. (1997). Collision avoidance as a differential game: real-time approximation of optimal strategies using higher derivatives of the value function, Proceedings of the IEEEInternational Conference on Systems, Man, and Cybernetics,Orlando, FL, USA, Vol. 3, pp. 2308-2313.Search in Google Scholar

Li, L. and Wang, F. (2006). Cooperative driving at blind crossings using intervehicle communication, IEEE Transactionson Vehicular Technology 55(6): 1712-1724.10.1109/TVT.2006.878730Search in Google Scholar

Nadeem, T., Dashtinezhad, S. and Liao, C. (2004). TrafficView: A scalable traffic monitoring system, Proceedings of theIEEE International Conference on Mobile Data Management,Berkeley, CA, USA, pp. 13-26.Search in Google Scholar

Robertson, D. (1969). TRANSYT: A traffic network study tool, Technical Report TRRL-LR-253, Transport and Road Research Laboratory, Crowthorne.Search in Google Scholar

Shladover, S., Desoer, C., Hedrick, J., Tomizuka, M., Walrand, J., Zhang, W.-B., McMahon, D., Peng, H., Sheikholeslam, S. and McKeown, N. (1991). Automated vehicle control developments in the path program, IEEE Transactions onVehicular Technology 40(1): 114-130.10.1109/25.69979Search in Google Scholar

Shladover, S.E. (2007). Path at 20-History and major milestones, IEEE Transactions on Intelligent TransportationSystems 8(4): 1 22-1 29.10.1109/TITS.2007.903052Search in Google Scholar

Wang, D., Gen, M. and Cheng, R. (1999). Scheduling grouped jobs on single machine with genetic algorithm, Computers& Industrial Engineering 36(2): 309-324.10.1016/S0360-8352(99)00134-5Search in Google Scholar

Webster, F. (1958). Road research technical paper, Technicalreport, Road Research Laboratory, London.Search in Google Scholar

Witkowska, A., Tomera, M. and Śmierzchalski, R. (2007). A backstepping approach to ship course control, InternationalJournal of Applied Mathematics and Computer Science17(1): 73-85, DOI: 10.2478/v10006-007-0007-2.10.2478/v10006-007-0007-2Search in Google Scholar

Wu, J., Abbas-Turki, A. and El Moudni, A. (2009). Discrete methods for urban intersection traffic controlling, Proceedingsof the IEEE 69th Vehicular Technology Conference,Barcelona, Spain, pp. 1-5.Search in Google Scholar

Xing, L., Chen, Y., Yang, K., Hou, F., Shen, X. and Cai, H.-P. (2008). A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem, Engineering Applications ofArtificial Intelligence 21(8): 1370-1380.10.1016/j.engappai.2008.01.003Search in Google Scholar

Yan, F., Dridi, M. and El-Moudni, A. (2009). A branch and bound algorithm for new traffic signal control system of an isolated intersection, 39th International Conferenceon Computers & Industrial Engineering, CIE39, Troyes,France, pp. 999-1004.Search in Google Scholar

Yan, F., Dridi, M. and El-Moudni, A. (2012). New vehicle sequencing algorithms with vehicular infrastructure integration for an isolated intersection, TelecommunicationSystems 50(4): 325-337.10.1007/s11235-010-9407-ySearch in Google Scholar