Gene

Network planning and design

Algorithm

Phase (matter)

Service (business)

Economics

Biochemistry

Computer science

Mathematical optimization

Computer network

Organic chemistry

Simulation

Mathematics

Transcription factor

Branch and bound

Repressor

Economy

Chemistry

Operator (biology)

Transportation Research Part C Emerging Technologies

This paper proposes a new optimization model for the network design problem of the demand-responsive customized bus (CB). The proposed model consists of two phases: inserting passenger requests dynamically in an interactive manner (dynamic phase) and optimizing the service network statically based on the overall demand (static phase). In the dynamic phase, we propose a hierarchical decision-making model to describe the interactive manner between operator and passengers. The CB network design problem is formulated in a mixed-integer program with the objective of maximizing operator’s revenue. The CB passenger’s travel behavior is measured by a discrete choice model given the trip plan provided by the operator. A dynamic insertion method is developed to address the proposed model in the dynamic phase. For the network design problem in the static phase, the service network is re-optimized based on the confirmed passengers with strict time deviation constraints embedded in the static multi-vehicle pickup and delivery problem. An exact solution method is developed based on the branch-and-bound (B&B) algorithm. Numerical examples are conducted to verify the proposed models and solution algorithms.

A two-phase optimization model for the demand-responsive customized bus network design