Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit
نویسندگان
چکیده
منابع مشابه
Passenger Flow Forecast Algorithm for Urban Rail Transit
To exactly forecast the urban rail transit passenger flow, a multi-level model combining neural network and Kalman filter was proposed. Firstly, ELAN neural network model was introduced to implement a preliminary forecast of the passenger flow. Then the Kalman filter was used to correct the preliminary forecast results, so as to further improve the accuracy. Finally, in order to validate the pr...
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http://dx.doi.org/10.1016/j.trb.2014.08.013 0191-2615/ 2014 Elsevier Ltd. All rights reserved. ⇑ Corresponding author at: HEC Montréal, 3000 chemin de la Côte-Sainte-Catherine, Montréal H3T 2A7, Canada. Tel.: +1 514 343 6111x8707; fax 343 7121. E-mail addresses: [email protected] (E. Barrena), [email protected] (D. Canca), [email protected] (L.C. Coelho), [email protected] (G. Eva...
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1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; [email protected] 2 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China 3 Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China * Correspondence: [email protected]...
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ژورنال
عنوان ژورنال: Journal of Advanced Transportation
سال: 2021
ISSN: 2042-3195,0197-6729
DOI: 10.1155/2021/3932627