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Volumn 9, Issue 7, 2015, Pages 754-764

Forward search algorithm based on dynamic programming for real-time adaptive traffic signal control

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; DYNAMIC PROGRAMMING; LEARNING ALGORITHMS; QUALITY CONTROL; STREET TRAFFIC CONTROL; TREES (MATHEMATICS);

EID: 84941121789     PISSN: 1751956X     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-its.2014.0156     Document Type: Article
Times cited : (16)

References (32)
  • 2
    • 52949141139 scopus 로고    scopus 로고
    • An mdp decomposition approach for traffic control at isolated signalized intersections
    • Haijema, R., van der Wal, J.: 'An mdp decomposition approach for traffic control at isolated signalized intersections', Probab. Eng. Inf. Sci., 2008, 22, (4), pp. 587-602
    • (2008) Probab. Eng. Inf. Sci , vol.22 , Issue.4 , pp. 587-602
    • Haijema, R.1    Van Der Wal, J.2
  • 4
    • 0033498312 scopus 로고    scopus 로고
    • A two-stage fuzzy logic controller for traffic signals
    • Trabia, M.B., Kaseko, M.S., Ande, M.: 'A two-stage fuzzy logic controller for traffic signals', Transp. Res. C, 1999, 7, (6), pp. 353-367
    • (1999) Transp. Res. C , vol.7 , Issue.6 , pp. 353-367
    • Trabia, M.B.1    Kaseko, M.S.2    Ande, M.3
  • 5
    • 0344530793 scopus 로고    scopus 로고
    • Cooperative, hybrid agent architecture for real-time traffic signal control
    • Choy, M.C., Srinivasan, D., Cheu, R.L.: 'Cooperative, hybrid agent architecture for real-time traffic signal control', IEEE Trans. Syst. Man, Cyber., A, 2003, 33, (5), pp. 597-607
    • (2003) IEEE Trans. Syst. Man, Cyber., A , vol.33 , Issue.5 , pp. 597-607
    • Choy, M.C.1    Srinivasan, D.2    Cheu, R.L.3
  • 6
    • 1542468058 scopus 로고    scopus 로고
    • Traffic signal timing optimisation based on genetic algorithm approach, including drivers' routing
    • Ceylan, H., Bell, M.G.: 'Traffic signal timing optimisation based on genetic algorithm approach, including drivers' routing', Transp. Res. B, 2004, 38, (4), pp. 329-342
    • (2004) Transp. Res. B , vol.38 , Issue.4 , pp. 329-342
    • Ceylan, H.1    Bell, M.G.2
  • 7
    • 84855806275 scopus 로고    scopus 로고
    • Swarm intelligence for traffic light scheduling: Application to real urban areas
    • Garca-Nieto, J., Alba, E., Carolina Olivera, A.: 'Swarm intelligence for traffic light scheduling: application to real urban areas', Eng. Appl. Artif. Intell., 2012, 25, (2), pp. 274-283
    • (2012) Eng. Appl. Artif. Intell , vol.25 , Issue.2 , pp. 274-283
    • Garca-Nieto, J.1    Alba, E.2    Carolina Olivera, A.3
  • 8
    • 56049125779 scopus 로고    scopus 로고
    • Multiagent reinforcement learning for urban traffic control using coordination graphs
    • Daelemans, W., Morik, K. (Eds.), Springer
    • Kuyer, L., Whiteson, S., Bakker, B., Vlassis, N.: 'Multiagent reinforcement learning for urban traffic control using coordination graphs'. in Daelemans, W., Morik, K. (Eds.): 'Machine learning and knowledge discovery in databases', (Springer, 2008), pp. 656-671
    • (2008) Machine Learning and Knowledge Discovery in Databases , pp. 656-671
    • Kuyer, L.1    Whiteson, S.2    Bakker, B.3    Vlassis, N.4
  • 10
    • 84996602328 scopus 로고
    • Opac: A demand-responsive strategy for traffic signal control
    • Gartner, N.H.: 'Opac: A demand-responsive strategy for traffic signal control', Transp. Res. Rec., 1983, 906, pp. 75-81
    • (1983) Transp. Res. Rec , vol.906 , pp. 75-81
    • Gartner, N.H.1
  • 13
    • 0002524006 scopus 로고
    • Hierarchical framework for real-time traffic control
    • Head, K.L., Mirchandani, P.B., Sheppard, D.: 'Hierarchical framework for real-time traffic control', Transp. Res. Rec., 1992, 1360, pp. 82-88
    • (1992) Transp. Res. Rec , vol.1360 , pp. 82-88
    • Head, K.L.1    Mirchandani, P.B.2    Sheppard, D.3
  • 14
    • 0035546649 scopus 로고    scopus 로고
    • A real-time traffic signal control system: Architecture, algorithms, and analysis
    • Mirchandani, P.B., Head, K.L.: 'A real-time traffic signal control system: architecture, algorithms, and analysis', Transp. Res. C, 2001, 9, (6), pp. 415-432
    • (2001) Transp. Res. C , vol.9 , Issue.6 , pp. 415-432
    • Mirchandani, P.B.1    Head, K.L.2
  • 17
    • 33749365892 scopus 로고    scopus 로고
    • Stochastic adaptive control model for traffic signal systems
    • Yu, X.H., Recker, W.W.: 'Stochastic adaptive control model for traffic signal systems', Transp. Res. C, 2006, 14, (4), pp. 263-282
    • (2006) Transp. Res. C , vol.14 , Issue.4 , pp. 263-282
    • Yu, X.H.1    Recker, W.W.2
  • 18
    • 0000608071 scopus 로고
    • Evaluation of optimized policies for adaptive control strategy
    • Gartner, N.H., Pooran, F.J., Andrews, C.M.: 'Evaluation of optimized policies for adaptive control strategy', Transp. Res. Rec., 1991, 1324, pp. 105-114
    • (1991) Transp. Res. Rec , vol.1324 , pp. 105-114
    • Gartner, N.H.1    Pooran, F.J.2    Andrews, C.M.3
  • 19
    • 84860519689 scopus 로고    scopus 로고
    • Reinforcement learning and optimal adaptive control: An overview and implementation examples
    • Khan, S.G., Herrmann, G., Lewis, F.L., Pipe, T., Melhuish, C.: 'Reinforcement learning and optimal adaptive control: an overview and implementation examples', Annu. Rev. Control, 2012, 36, (1), pp. 42-59
    • (2012) Annu. Rev. Control , vol.36 , Issue.1 , pp. 42-59
    • Khan, S.G.1    Herrmann, G.2    Lewis, F.L.3    Pipe, T.4    Melhuish, C.5
  • 20
    • 84891828192 scopus 로고    scopus 로고
    • Reinforcement learning algorithms with function approximation: Recent advances and applications
    • Xu, X., Zuo, L., Huang, Z.H.: 'Reinforcement learning algorithms with function approximation: recent advances and applications', Inf. Sc., 2014, 261, pp. 1-31
    • (2014) Inf. Sc , vol.261 , pp. 1-31
    • Xu, X.1    Zuo, L.2    Huang, Z.H.3
  • 21
    • 85058603073 scopus 로고    scopus 로고
    • Handbook of learning and approximate dynamic programming
    • Si, J., Barto, A.G., Powell, W.B., Wunsch, D.C.: 'Handbook of learning and approximate dynamic programming' (IEEE Press, 2004)
    • (2004) IEEE Press
    • Si, J.1    Barto, A.G.2    Powell, W.B.3    Wunsch, D.C.4
  • 23
    • 77953015097 scopus 로고    scopus 로고
    • Reinforcement learning-based multi-agent system for network traffic signal control
    • Arel, I., Liu, C., Urbanik, T., Kohls, A.G.: 'Reinforcement learning-based multi-agent system for network traffic signal control', IET, Intell. Transp. Syst., 2010, 4, (2), pp. 128-135
    • (2010) IET, Intell. Transp. Syst , vol.4 , Issue.2 , pp. 128-135
    • Arel, I.1    Liu, C.2    Urbanik, T.3    Kohls, A.G.4
  • 24
    • 79958173163 scopus 로고    scopus 로고
    • Reinforcement learning with function approximation for traffic signal control
    • Prashanth, L., Bhatnagar, S.: 'Reinforcement learning with function approximation for traffic signal control', IEEE Trans. Intell. Transp. Syst., 2011, 12, (2), pp. 412-421
    • (2011) IEEE Trans. Intell. Transp. Syst , vol.12 , Issue.2 , pp. 412-421
    • Prashanth, L.1    Bhatnagar, S.2
  • 26
    • 84923816458 scopus 로고    scopus 로고
    • Approximate dynamic programming for traffic signal control at isolated intersection
    • Silhavy, R., Senkerik, R., Oplatkova, Z. K., Silhavy, P., Prokopova, Z. (Eds.), Springer
    • Yin, B., Dridi, M., EL Moudni, A.: 'Approximate dynamic programming for traffic signal control at isolated intersection'. in Silhavy, R., Senkerik, R., Oplatkova, Z. K., Silhavy, P., Prokopova, Z. (Eds.): 'Modern trends and techniques in computer science' (Springer, 2014), pp. 369-381
    • Modern Trends and Techniques in Computer Science , vol.2014 , pp. 369-381
    • Yin, B.1    Dridi, M.2    Moudni A, E.L.3
  • 27
    • 67949102007 scopus 로고    scopus 로고
    • Adaptive traffic signal control using approximate dynamic programming
    • Cai, C., Wong, C.K., Heydecker, B.G.: 'Adaptive traffic signal control using approximate dynamic programming', Transp. Res. C, 2009, 17, (5), pp. 456-474
    • (2009) Transp. Res. C , vol.17 , Issue.5 , pp. 456-474
    • Cai, C.1    Wong, C.K.2    Heydecker, B.G.3
  • 28
    • 0035369425 scopus 로고    scopus 로고
    • Lao∗: A heuristic search algorithm that finds solutions with loops
    • Hansen, E.A., Zilberstein, S.: 'Lao∗: A heuristic search algorithm that finds solutions with loops', Artif. Intell., 2001, 129, (1), pp. 35-62
    • (2001) Artif. Intell , vol.129 , Issue.1 , pp. 35-62
    • Hansen, E.A.1    Zilberstein, S.2
  • 30
    • 0029210635 scopus 로고
    • Learning to act using real-time dynamic programming
    • Barto, A.G., Bradtke, S.J., Singh, S.P.: 'Learning to act using real-time dynamic programming', Artif. Intell., 1995, 72, (1), pp. 81-138
    • (1995) Artif. Intell , vol.72 , Issue.1 , pp. 81-138
    • Barto, A.G.1    Bradtke, S.J.2    Singh, S.P.3
  • 31
    • 31844446535 scopus 로고    scopus 로고
    • Bounded real-time dynamic programming: Rtdp with monotone upper bounds and performance guarantees
    • McMahan, H.B., Likhachev, M., Gordon, G.J.: 'Bounded real-time dynamic programming: Rtdp with monotone upper bounds and performance guarantees'. Proc. 22th Int. Conf. on Machine learning, 2005, pp. 569-576
    • (2005) Proc. 22th Int. Conf. on Machine Learning , pp. 569-576
    • McMahan, H.B.1    Likhachev, M.2    Gordon, G.J.3
  • 32
    • 33750744433 scopus 로고    scopus 로고
    • Focused real-time dynamic programming for mdps: Squeezing more out of a heuristic
    • Smith, T., Simmons, R.: 'Focused real-time dynamic programming for mdps: squeezing more out of a heuristic'. Proc. Natl. Conf. on Artificial Intelligence, 2006, vol. 21, no. 2, pp. 1227-1232
    • (2006) Proc. Natl. Conf. on Artificial Intelligence , vol.21 , Issue.2 , pp. 1227-1232
    • Smith, T.1    Simmons, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.