A New Stochastic Model for Bus Rapid Transit Scheduling with Uncertainty

Nowadays, authorities of large cities in the world implement bus rapid transit (BRT) services to alleviate traffic problems caused by the significant development of urban areas. Therefore, a controller is required to control and dispatche buses in such BRT systems.. However, controllers are facing n...

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Bibliographic Details
Published in:Future transportation 2022-03, Vol.2 (1), p.165-183
Main Authors: Filabadi, Milad Dehghani, Asadi, Afshin, Giahi, Ramin, Ardakani, Ali Tahanpour, Azadeh, Ali
Format: Article
Language:English
Subjects:
Algorithms
Approximation
based-scenario stochastic programming
bus rapid transit (BRT)
Buses
Costs
Heuristic
Mathematical programming
mixed-integer nonlinear programming
Optimization
Passengers
Public transportation
Scheduling
Stochastic models
Traffic congestion
Travel
traveling time
uncertainty modeling
Vehicles
waiting time
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