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Volumn 25, Issue 5, 2011, Pages 357-369

Intelligent agent optimization of urban bus transit system design

Author keywords

Optimization; Public transportation; Routing; Transportation networks

Indexed keywords

BUS NETWORKS; BUS ROUTE; BUS SYSTEMS; COMMERCIAL APPLICATIONS; DELHI , INDIA; INTELLIGENT AGENT ARCHITECTURE; INTELLIGENT AGENT SYSTEM; LOGISTICS PROBLEMS; META-HEURISTIC APPROACH; NEAR-OPTIMAL SOLUTIONS; OPTIMAL SOLUTIONS; OPTIMIZATION SYSTEM; PUBLIC TRANSPORTATION; RESEARCH STUDIES; ROUTING; TRANSIT OPERATORS; TRANSIT ROUTE NETWORKS; TRANSIT SYSTEMS; TRANSPORTATION NETWORKS; URBAN BUS;

EID: 80052805519     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000095     Document Type: Article
Times cited : (43)

References (32)
  • 1
    • 16444380029 scopus 로고    scopus 로고
    • Transit route network design using parallel genetic algorithm
    • DOI 10.1061/(ASCE)0887-3801(2004)18:3(248)
    • Agrawal, J., and Mathew, T. V. (2004). Parallel GA for transit route network design. J. Comput. Civ. Eng. JCCEE5 0887-3801, 18 (3), 248-256. 10.1061/(ASCE)0887-3801(2004)18:3(248) (Pubitemid 40475421)
    • (2004) Journal of Computing in Civil Engineering , vol.18 , Issue.3 , pp. 248-256
    • Agrawal, J.1    Mathew, T.V.2
  • 2
    • 0028866030 scopus 로고
    • Hybrid route generation heuristic algorithm for the design of transit networks
    • 0968-090X, .10.1016/0968-090X(94)00011-S
    • Baaj, M. H., and Mahmassani, H. S. (1995). Hybrid route generation heuristic algorithm for the design of transit networks. Transp. Res. Part C 0968-090X, 3 (1), 31-50. 10.1016/0968-090X(94)00011-S
    • (1995) Transp. Res. Part C , vol.3 , Issue.1 , pp. 31-50
    • Baaj, M.H.1    Mahmassani, H.S.2
  • 5
    • 0036894026 scopus 로고    scopus 로고
    • Enhancing intelligent agent collaboration for flow optimization of railroad traffic
    • DOI 10.1016/S0965-8564(02)00002-2, PII S0965856402000022
    • Blum, J., and Eskandarian, A. (2002). Enhancing intelligent agent collaboration for flow optimization of railroad traffic. Transp. Res. Part A Policy Pract. 0965-8564, 36 (10), 919-930. 10.1016/S0965-8564(02)00002-2 (Pubitemid 35400183)
    • (2002) Transportation Research Part A: Policy and Practice , vol.36 , Issue.10 , pp. 919-930
    • Blum, J.1    Eskandarian, A.2
  • 7
    • 33645511246 scopus 로고    scopus 로고
    • Optimization of bus route planning in urban commuter networks
    • 1077-291X
    • Chien, S. I.-J., Dimitrijevic, B. V., and Spasovic, L. N. (2003). Optimization of bus route planning in urban commuter networks. J. Public Transp. 1077-291X, 6 (1), 53-80.
    • (2003) J. Public Transp. , vol.6 , Issue.1 , pp. 53-80
    • Chien, S.I.-J.1    Dimitrijevic, B.V.2    Spasovic, L.N.3
  • 8
    • 0035340928 scopus 로고    scopus 로고
    • Genetic algorithm approach for transit route planning and design
    • DOI 10.1061/(ASCE)0733-947X(2001)127:3(200)
    • Chien, S., Yang, Z., and Hou, E. (2001). A genetic algorithm approach for transit route planning and design. J. Transp. Eng., 127 (3), 200-207. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(2001)127:3(200) (Pubitemid 32434848)
    • (2001) Journal of Transportation Engineering , vol.127 , Issue.3 , pp. 200-207
    • Chien, S.1    Yang, Z.2    Hou, E.3
  • 10
    • 0018518751 scopus 로고
    • Set of methods in transportation network synthesis and analysis
    • Dubois, D., Bel, G., and Llibre, M. (1979). Set of methods in transportation network synthesis and analysis. J. Oper. Res. Soc., 30 (9), 797-808. JORSDZ (Pubitemid 10415209)
    • (1979) Journal of the Operational Research Society , vol.30 , Issue.9 , pp. 797-808
    • Dubois, D.1    Bel, G.2    Llibre, M.3
  • 11
    • 77952241238 scopus 로고    scopus 로고
    • A tabu search based heuristic method for the transit route network design problem
    • (a). ., Institute for Operations Research and Management Sciences (INFORMS), College Station, TX
    • Fan, W., and Machemehl, R. (2004 a). A tabu search based heuristic method for the transit route network design problem. Proc. Int. Conf. on Computer-Aided Scheduling of Public Transport, Institute for Operations Research and Management Sciences (INFORMS), College Station, TX.
    • (2004) Proc. Int. Conf. on Computer-Aided Scheduling of Public Transport
    • Fan, W.1    MacHemehl, R.2
  • 12
    • 31044446383 scopus 로고    scopus 로고
    • (b). . Texas Transportation Institute Report No. SWUTC/04/167244-1, Southwest Region Univ. Transportation Center, College Station, TX
    • Fan, W., and Machemehl, R. B. (2004 b). Optimal transit route network design problem: Algorithms. Texas Transportation Institute Report No. SWUTC/04/167244-1, Southwest Region Univ. Transportation Center, College Station, TX.
    • (2004) Optimal Transit Route Network Design Problem: Algorithms
    • Fan, W.1    MacHemehl, R.B.2
  • 13
    • 31144461825 scopus 로고    scopus 로고
    • Optimal transit route network design problem with variable transit demand: Genetic algorithm approach
    • DOI 10.1061/(ASCE)0733-947X(2006)132:1(40)
    • Fan, W., and Machemehl, R. B. (2006 a). Optimal transit route network design problem with variable transit demand: Genetic algorithm approach. J. Transp. Eng., 132 (1), 40-51. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(2006)132: 1(40) (Pubitemid 43124787)
    • (2006) Journal of Transportation Engineering , vol.132 , Issue.1 , pp. 40-51
    • Fan, W.1    Machemehl, R.B.2
  • 14
    • 31044433064 scopus 로고    scopus 로고
    • Using a simulated annealing algorithm to solve the transit route network design problem
    • DOI 10.1061/(ASCE)0733-947X(2006)132:2(122)
    • Fan, W., and Machemehl, R. B. (2006 b). Using a simulated annealing algorithm to solve the transit route network design problem. J. Transp. Eng., 132 (2), 122-132. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(2006)132:2(122) (Pubitemid 43119042)
    • (2006) Journal of Transportation Engineering , vol.132 , Issue.2 , pp. 122-132
    • Fan, W.1    Machemehl, R.B.2
  • 15
    • 2642512286 scopus 로고    scopus 로고
    • On the computational efficiency of multiple objective metaheuristics: The knapsack problem case study
    • EJORDT 0377-2217 10.1016/j.ejor.2003.06.015
    • Jaszkiewicz, A. (2004). On the computational efficiency of multiple objective metaheuristics: The knapsack problem case study. Eur. J. Oper. Res., 158 (2), 418-433. EJORDT 0377-2217 10.1016/j.ejor.2003.06.015
    • (2004) Eur. J. Oper. Res. , vol.158 , Issue.2 , pp. 418-433
    • Jaszkiewicz, A.1
  • 17
    • 0024016389 scopus 로고
    • Optimization of feeder bus routes and bus-stop spacing
    • Kuah, G. K., and Perl, J. (1988). Optimization of feeder bus routes and bus-stop spacing. J. Transp. Eng., 114 (3), 341-354. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(1988)114:3(341) (Pubitemid 18606000)
    • (1988) Journal of Transportation Engineering , vol.114 , Issue.3 , pp. 341-354
    • Kuah Geok, K.1    Perl Jossef2
  • 18
    • 37749052712 scopus 로고    scopus 로고
    • Urban transit route network design problem using tabu search algorithm
    • Lei, D., and Yan, X. (2007). Urban transit route network design problem using tabu search algorithm. Proc. Int. Conf. on Transportation Engineering, 3929-3934.
    • (2007) Proc. Int. Conf. on Transportation Engineering , pp. 3929-3934
    • Lei, D.1    Yan, X.2
  • 19
    • 37749027566 scopus 로고    scopus 로고
    • Bus transit route network design using genetic algorithm
    • ASCE, Reston, VA 10.1061/40932(246)187
    • Lui, H., and Yang, X. (2007). Bus transit route network design using genetic algorithm. Proc. Int. Conf. on Transportation Engineering, ASCE, Reston, VA 10.1061/40932(246)187.
    • (2007) Proc. Int. Conf. on Transportation Engineering
    • Lui, H.1    Yang, X.2
  • 20
    • 0019172125 scopus 로고
    • Evaluation and optimization of urban public transportation networks
    • DOI 10.1016/0377-2217(80)90126-5
    • Mandl, C. E. (1980). Evaluation and optimization of urban public transportation networks. Eur. J. Oper. Res., 5 (6), 396-404. EJORDT 0377-2217 10.1016/0377-2217(80)90126-5 (Pubitemid 11454509)
    • (1980) European Journal of Operational Research , vol.5 , Issue.6 , pp. 396-404
    • Mandl Christoph, E.1
  • 22
    • 0018432957 scopus 로고
    • Some issues relating to the optimal design of bus routes
    • Newell, G. F. (1979). Some issues relating to the optimal design of bus routes. Transp. Sci. TRSCBJ 0041-1655, 13 (1), 20-35. 10.1287/trsc.13.1.20 (Pubitemid 9459137)
    • (1979) Transp Sci , vol.13 , Issue.1 , pp. 20-35
    • Newell, G.F.1
  • 23
    • 0141566265 scopus 로고    scopus 로고
    • Optimal time transfer in bus transit route network design using a genetic algorithm
    • DOI 10.1061/(ASCE)0733-947X(2003)129:5(510)
    • Ngamchai, S., and Lovell, D. J. (2003). Optimal time transfer in bus transit route network design using a genetic algorithm. J. Transp. Eng., 129 (5), 510-521. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(2003)129:5(510) (Pubitemid 37164328)
    • (2003) Journal of Transportation Engineering , vol.129 , Issue.5 , pp. 510-521
    • Ngamchai, S.1    Lovell, D.J.2
  • 24
    • 0032126986 scopus 로고    scopus 로고
    • Urban bus transit route network design using genetic algorithm
    • DOI 10.1061/(ASCE)0733-947X(1998)124:4(368)
    • Pattnaik, S. B., Mohan, S., and Tom, V. M. (1998). Urban bus transit route network design using genetic algorithms. J. Transp. Eng., 124 (4), 368-375. JTPEDI 0733-947X 10.1061/(ASCE)0733-947X(1998)124:4(368) (Pubitemid 28392716)
    • (1998) Journal of Transportation Engineering , vol.124 , Issue.4 , pp. 368-375
    • Pattnaik, S.B.1    Mohan, S.2    Tom, V.M.3
  • 26
    • 0000463992 scopus 로고
    • Planning the route system for urban buses
    • CMORAP 0305-0548 10.1016/0305-0548(74)90046-X
    • Silman, L. A., Barzily, Z., and Passy, U. (1974). Planning the route system for urban buses. Comput. Oper. Res., 1 (2), 201-211. CMORAP 0305-0548 10.1016/0305-0548(74)90046-X
    • (1974) Comput. Oper. Res. , vol.1 , Issue.2 , pp. 201-211
    • Silman, L.A.1    Barzily, Z.2    Passy, U.3
  • 27
    • 0032294890 scopus 로고    scopus 로고
    • Asynchronous teams: Cooperation schemes for autonomous agents
    • Talukdar, S., Baerentzen, L., Gove, A., and De Souza, P. (1998). Asynchronous teams: Cooperation schemes for autonomous agents. J. Heuristics 1381-1231, 4 (4), 295-321. 10.1023/A:1009669824615 (Pubitemid 128514318)
    • (1998) Journal of Heuristics , vol.4 , Issue.4 , pp. 295-321
    • Talukdar, S.1    Baerentzen, L.2    Gove, A.3    De Souza, P.4
  • 28
    • 16444383708 scopus 로고    scopus 로고
    • Ph.D. thesis, Dept. of Civil Engineering, Indian Institute of Technology, Madras, India
    • Tom, V. M. (1999). Urban transit route network design using genetic algorithm. Ph.D. thesis, Dept. of Civil Engineering, Indian Institute of Technology, Madras, India.
    • (1999) Urban Transit Route Network Design Using Genetic Algorithm
    • Tom, V.M.1
  • 29
    • 0004179469 scopus 로고
    • Ph.D. thesis, Dept. of Computer Science, Carnegie Mellon Univ., Pittsburgh
    • Tsen, C. K. (1995). Solving train scheduling problems using A-teams. Ph.D. thesis, Dept. of Computer Science, Carnegie Mellon Univ., Pittsburgh.
    • (1995) Solving Train Scheduling Problems Using A-teams
    • Tsen, C.K.1
  • 30
    • 35448967302 scopus 로고    scopus 로고
    • Optimizing bus transit network with parallel ant colony algorithm
    • Association for Planning Transportation Studies, Tokyo
    • Yu, B., Yang, Z., Cheng, C., and Liu, C. (2005). Optimizing bus transit network with parallel ant colony algorithm. Proc. Eastern Asia Society for Transportation Studies, Association for Planning Transportation Studies, Tokyo, 5, 374-389.
    • (2005) Proc. Eastern Asia Society for Transportation Studies , vol.5 , pp. 374-389
    • Yu, B.1    Yang, Z.2    Cheng, C.3    Liu, C.4
  • 31
    • 33645517858 scopus 로고    scopus 로고
    • Transit network optimization: Minimizing transfers and optimizing route directness
    • 1077-291X
    • Zhao, F., and Ubaka, I. (2004). Transit network optimization: Minimizing transfers and optimizing route directness. J. Public Transp. 1077-291X, 7 (1), 63-81.
    • (2004) J. Public Transp. , vol.7 , Issue.1 , pp. 63-81
    • Zhao, F.1    Ubaka, I.2
  • 32
    • 33645530240 scopus 로고    scopus 로고
    • Simulated annealing-genetic algorithm for transit network optimization
    • JCCEE5 0887-3801 10.1061/(ASCE)0887-3801(2006)20:1(57)
    • Zhao, F., and Zeng, X. (2006). Simulated annealing-genetic algorithm for transit network optimization. J. Comput. Civ. Eng., 20 (1), 57-68. JCCEE5 0887-3801 10.1061/(ASCE)0887-3801(2006)20:1(57)
    • (2006) J. Comput. Civ. Eng. , vol.20 , Issue.1 , pp. 57-68
    • Zhao, F.1    Zeng, X.2


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