Rexfelt O, Schelenz T, Karlsson M, et al. Evaluating the effects of bus design on passenger flow: Is agent-based simulation a feasible approach[J]. Transportation research part C, 2014,38:16-27.
[2]
Euchi J, Mraihi R. The urban bus routing problem in the Tunisian case by the hybrid artificial ant colony algorithm[J]. Swarm and evolutionary computation, 2012,2:15-24.
[3]
Guihaire V, Hao J. Transit network design and scheduling: A global review[J]. Transportation research part A, 2008,M (42):1251-1273.
Mandiau R, Champion A, Auberlet J, et al. Behaviour based on decision matrices for a coordination between agents in urban traffic simulation[J]. Applied intelligence, 2008,28(2):121-138.
[6]
Tian L. Traffic flow simulation in scenario with signalized intersection and bus stop[J]. Journal of transportation systems engineering and information technology, 2012,12(5):90-96.
[7]
Liu Y, Niu H. Simulation and analysis of traffic flow model on multi-platform harbor-style bus stop[J]. Journal of transportation systems engineering and information technology, 2012,12(5):97-102.
[8]
Meignan D, Simonin O, Koukam A. Simulation and evaluation of urban bus-networks using a multiagentapproach[J]. Simulation modelling practice and theory, 2007,15: 659-671.
[9]
Yu B, Yang Z, Jin P, et al. Transit route network designmaximizing direct and transfer demand density[J]. Transportation research part C, 2012, 22:58-75.
Fernández R. Modelling public transport stops by microscopic simulation[J]. Transportation research part C, 2010,18:856-868.
[12]
Doniec A, Mandiau R, Piechowiak S, et al. A behavioral multi-agent model for road traffic simulation[J]. Engineering applications of artificial intelligence, 2008,21:1443-1454.
[13]
Schelenz T, Suescun A, Wikstr?m L. Passenger-centered design of future buses using agent-based simulation[J]. ProcediaSocial and Behavioral Sciences, 2012,48:1662-1671.
[14]
Ma N, Yin G, Zuo Y. Passenger sharing of the high-speed railway from sensitivity analysis caused by price and runtime based on the multi-agent system[J]. Journal of Industrial Engineering and Management, 2013, 6(4):1210-1222.
[15]
Balbo F, Pinson S. Towards a multi-agent modeling approach for urban public transportation system[J]. Engineering Societies, 1999,160-174.
[16]
Dia H. An agent-based approach to modeling driver route choice behavior under the influence of real-time information[J]. Transportation Research Part C: Emerging Technologies, 2002,10C(56):331-349.
[17]
Bhouri N, Balbo F, Pinson S. An agent-based computational approach for urban traffic regulation[J]. Progress in Artificial Intelligence, 2012,1(2):139-147.
Ma X, Wang Y, Chen F, et al. Transit smart card data mining for passenger origin information extraction[J]. Journal of Zhejiang University-Science C(Computers & Electronics), 2012,13(10):750-760.
[22]
Kusakabe T, Iryo T, Asakura Y. Estimation method for railway passengers'train choice behavior with smart card transaction data[J]. Transportation, 2010, 37:731-749.