Integrated transit services for minimum cost operation considering heterogeneous demand

Steven I-Jy Chien · Yavuz Y. Ulusoy · Chien-Hung Wei

10 citations0/0 files storedTransportation Planning and Technology

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Transportation Planning and Optimization Railway Systems and Energy Efficiency Transportation and Mobility Innovations

Abstract

In large metropolitan areas, public transit is a major mode choice of commuters for their daily travel, which has an important role in relieving congestion on transportation corridors. The purpose of this study is to develop a model which optimizes service patterns (SPs) and frequencies that yield minimum cost transit operation. Considering a general transit route with given stops and origin-destination demand, the proposed model consists of an objective total cost function and a set of constraints to ensure frequency conservation and sufficient capacity subject to operable fleet size. A numerical example is provided to demonstrate the effectiveness of the developed model, in which the demand and facility data of a rail transit route were given. Results show that the proposed model can be applied to optimize integrated SPs and headways that significantly reduce the total cost, while the resulting performance indicators are generated.

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References

2005Optimal Transit Route Network Design Problem with Variable Transit Demand: Genetic Algorithm Approach 2007Optimization of transit route network, vehicle headways and timetables for large-scale transit networks 1981SETTING FREQUENCIES ON BUS ROUTES: THEORY AND PRACTICE 1998Joint optimization of a rail transit line and its feeder bus system 2004Transit Route Network Design Using Parallel Genetic Algorithm 1998Service optimization for bus corridors with short-turn strategies and variable vehicle size 1982The allocation of buses in heavily utilized networks with overlapping routes 1987SHORT TURNING ON TRANSIT ROUTES

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2018Optimizing fare and headway to facilitate timed transfer considering demand elasticity 2021Maximizing Ridership through Integrated Bus Service Considering Travel Demand Elasticity with Genetic Algorithm 2018MINIMIZING USER AND OPERATOR COSTS OF SINGLE LINE BUS SERVICE USING OPERATIONAL STRATEGIES

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