|
R. O. Arbex
and C. B. da Cunha
, Efficient transit network design and frequencies setting multi-objective optimization by alternating objective genetic algorithm, Transportation Research Part B: Methodological, 81 (2015)
, 355-376.
doi: 10.1016/j.trb.2015.06.014.
|
|
M. H. Baaj
and H. S. Mahmassani
, An AI-based approach for transit route system planning and design, Journal of Advanced Transportation, 25 (1991)
, 187-209.
doi: 10.1002/atr.5670250205.
|
|
M. H. Baaj
and H. S. Mahmassani
, Hybrid route generation heuristic algorithm for the design of transit networks, Transportation Research Part C: Emerging Technologies, 3 (1995)
, 31-50.
doi: 10.1016/0968-090X(94)00011-S.
|
|
M. Bagherian
, S. Massah
and S. Kermanshahi
, A swarm based method for solving transit network design problem, Proceedings of the 36th Australasian Transport Research Forum, (2013)
, 2-4.
|
|
D. Beasley
, D.R. Bull
and R.R. Martin
, An overview of genetic algorithms: part 2, research topics, University Computing, 15 (1993)
, 170-181.
|
|
M. Bielli
, M. Caramia
and P. Carotenuto
, Genetic algorithms in bus network optimization, Transportation Research Part C: Emerging Technologies, 10 (2002)
, 19-34.
doi: 10.1016/S0968-090X(00)00048-6.
|
|
A. T. Buba
and L. S. Lee
, Differential evolution for urban transit routing problem, Journal of Computer and Communications, 4 (2016)
, 11-25.
doi: 10.4236/jcc.2016.414002.
|
|
A. Ceder
and N. H. M. Wilson
, Bus network design, Transportation Research Part B: Methodological, 20 (1986)
, 331-344.
doi: 10.1016/0191-2615(86)90047-0.
|
|
P. Chakroborty
, Genetic algorithms for optimal urban transit network design, Computer-Aided Civil and Infrastructure Engineering, 18 (2003)
, 184-200.
doi: 10.1111/1467-8667.00309.
|
|
P. Chakroborty
and T. Wivedi
, Optimal route network design for transit systems using genetic algorithms, Engineering Optimization, 34 (2002)
, 83-100.
doi: 10.1080/03052150210909.
|
|
J. S. C. Chew, L. S. Lee and H. V. Seow, Genetic algorithm for biobjective urban transit routing problem, Journal of Applied Mathematics, 2013 (2013), Article ID 698645, 15 pages.
|
|
S. Chien
, Z. Yang
and E. Hou
, Genetic algorithm approach for transit route planning and design, Journal of Transportation Engineering, 127 (2001)
, 200-207.
doi: 10.1061/(ASCE)0733-947X(2001)127:3(200).
|
|
L. Fan,
Metaheuristic Methods for the Urban Transit Routing Problem, Ph. D thesis, Cardiff University (United Kingdom), 2009.
|
|
L. Fan
and C. L. Mumford
, A metaheuristic approach to the urban transit routing problem, Journal of Heuristics, 16 (2010)
, 353-372.
doi: 10.1007/s10732-008-9089-8.
|
|
L. Fan
, C. L. Mumford
and D. Evans
, A simple multi-objective optimization algorithm for the urban transit routing problem, IEEE Congress on Evolutionary Computation, (2009)
, 1-7.
doi: 10.1109/CEC.2009.4982923.
|
|
W. Fan
and R. B. Machemehl
, Optimal transit route network design problem with variable transit demand: genetic algorithm approach, Journal of Transportation Engineering, 132 (2006)
, 40-51.
doi: 10.1061/(ASCE)0733-947X(2006)132:1(40).
|
|
W. Fan
and R. B. Machemehl
, Tabu search strategies for the public transportation network optimizations with variable transit demand, Computer-Aided Civil and Infrastructure Engineering, 23 (2008)
, 502-520.
doi: 10.1111/j.1467-8667.2008.00556.x.
|
|
J. Guan
, H. Yang
and S. Wirasinghe
, Simultaneous optimization of transit line configuration and passenger line assignment, Transportation Research Part B: Methodological, 40 (2006)
, 885-902.
doi: 10.1016/j.trb.2005.12.003.
|
|
A. Jaszkiewicz
, On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study, European Journal of Operational Research, 158 (2004)
, 418-433.
doi: 10.1016/j.ejor.2003.06.015.
|
|
M. P. John, C. L. Mumford and R. Lewis, An improved multi-objective algorithm for the urban transit routing problem, in Evolutionary Computation in Combinatorial Optimisation, EVOCOP Lecture Series in Computer Science (eds. C. Blum and G. Ochoa), Springer, 2014.
doi: 10.1007/978-3-662-44320-0_5.
|
|
P. N. Kechagiopoulos
and G. N. Beligiannis
, Solving the urban transit routing problem using a particle swarm optimization based algorithm, Applied Soft Computing, 21 (2014)
, 654-676.
doi: 10.1016/j.asoc.2014.04.005.
|
|
F. Kiliç
and M. Gök
, A demand based route generation algorithm for public transit network design, Computers & Operations Research, 51 (2014)
, 21-29.
doi: 10.1016/j.cor.2014.05.001.
|
|
H. N. Koutsopoulos and N. H. M. Wilson, Determination of headways as a function of time varying characteristics on a transit network, in Computer Scheduling of Public Transport 2, (1985), 391–414.
|
|
T. I. Magnanti
and R. T. Wong
, Network design and transportation planning: models and algorithms, Transportation Science, 18 (1984)
, 1-55.
doi: 10.1287/trsc.18.1.1.
|
|
C. E. Mandl
, Evaluation and optimization of urban public transportation networks, European Journal of Operational Research, 5 (1980)
, 396-404.
doi: 10.1016/0377-2217(80)90126-5.
|
|
E. Mazloumi
, M. Mesbah
, A. Ceder
, S. Moridpour
and G. Currie
, Efficient transit schedule design of timing points: a comparison of ant colony and genetic algorithms, Transportation Research Part B: Methodological, 46 (2012)
, 217-234.
doi: 10.1016/j.trb.2011.09.010.
|
|
C. L. Mumford
, New heuristic and evolutionary operators for the multi-objective urban transit routing problem, IEEE Congress on Evolutionary Computation, (2013)
, 939-946.
doi: 10.1109/CEC.2013.6557668.
|
|
A. T. Murray
, A coverage model for improving public transit system accessibility and expanding access, Annals of Operations Research, 123 (2003)
, 143-156.
doi: 10.1023/A:1026123329433.
|
|
M. A. Nayeem
, M. K. Rahman
and M.S. Rahman
, Transit network design by genetic algorithm with elitism, Transportation Research Part C: Emerging Technologies, 46 (2014)
, 30-45.
doi: 10.1016/j.trc.2014.05.002.
|
|
G. Newell
, Some issues relating to the optimal design of bus routes, Transportation Science, 13 (1979)
, 20-35.
doi: 10.1287/trsc.13.1.20.
|
|
S. Ngamchai
and D. J. Lovell
, Optimal time transfer in bus transit route network design using a genetic algorithm, Journal of Transportation Engineering, 129 (2003)
, 510-521.
doi: 10.1061/(ASCE)0733-947X(2003)129:5(510).
|
|
M. Nikolić
and D. Teodorović
, Transit network design by bee colony optimization, Expert Systems with Applications, 40 (2013)
, 5945-5955.
|
|
J. Pacheco
, A. Alvarez
, S. Casado
and J. L. González-Velarde
, A tabu search approach to an urban transport problem in northern Spain, Computers & Operations Research, 36 (2009)
, 967-979.
doi: 10.1016/j.cor.2007.12.002.
|
|
S. Pattnaik
, S. Mohan
and V. Tom
, Urban bus transit route network design using genetic algorithm, Journal of Transportation Engineering, 124 (1998)
, 368-375.
doi: 10.1061/(ASCE)0733-947X(1998)124:4(368).
|
|
S. Schéele
, A supply model for public transit services, Transportation Research Part B: Methodological, 14 (1980)
, 133-146.
|
|
R. Storn and K. Price, Differrential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, Technical Report, International Computer Science Institute Berkeley, CA, 1995.
|
|
Q. K. Wan
and H. K. Lo
, A mixed integer formulation for multiple-route transit network design, Journal of Mathematical Modelling and Algorithms, 2 (2003)
, 299-308.
doi: 10.1023/B:JMMA.0000020425.99217.cd.
|
|
F. Zhao and A. Gan, Optimization of transit network to minimize transfer,
Final Report BD015-02 Research Office Florida Department of Transportation, 2003.
|