A Low-Carbon-Based Bilevel Optimization Model for Public Transit Network

Xu Sun · Huapu Lu · Wenjun Chu

11 citations0/0 files storedMathematical Problems in Engineering

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

Abstract

To satisfy the demand of low-carbon transportation, this paper studies the optimization of public transit network based on the concept of low carbon. Taking travel time, operation cost, energy consumption, pollutant emission, and traffic efficiency as the optimization objectives, a bilevel model is proposed in order to maximize the benefits of both travelers and operators and minimize the environmental cost. Then the model is solved with the differential evolution (DE) algorithm and applied to a real network of Baoji city. The results show that the model can not only ensure the benefits of travelers and operators, but can also reduce pollutant emission and energy consumption caused by the operations of buses, which reflects the concept of low carbon.

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References

1986Bus network design 1998Urban Bus Transit Route Network Design Using Genetic Algorithm 1995Hybrid route generation heuristic algorithm for the design of transit networks 2002Genetic algorithms in bus network optimization 2006A Parallel Ant Colony Algorithm for Bus Network Optimization 1979A Set of Methods in Transportation Network Synthesis and Analysis 2004Transit Route Network Design Using Parallel Genetic Algorithm 2004Transit Network Optimization - Minimizing Transfers and Optimizing Route Directness

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