Journal article
Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model
Transportation research. Part E, Logistics and transportation review, v 147, 102240
01 Mar 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•A new modular transit network system (MTNS) is proposed for a general road network.•A mixed-integer nonlinear programming model is proposed for vehicle dispatching in the MTNS.•The nonlinear model is revised into a linear model that solves near-optimal solutions with small gaps.•Numerical examples show that the MTNS is more effective than classic bus and passenger car systems.
Modular vehicle (MV) technology offers the possibility of flexibly adjusting the vehicle capacity by docking/undocking modular pods into vehicles of different sizes en route to satisfy passenger demand. Based on the MV technology, a modular transit network system (MTNS) concept is proposed to overcome the mismatch between fixed vehicle capacity and spatially varying travel demand in traditional public transportation systems. To achieve the optimal MTNS design, a mixed-integer nonlinear programming model is developed to balance the tradeoff between the vehicle operation cost and the passenger trip time cost. The nonlinear model is reformulated into a computationally tractable linear model. The linear model solves the lower and upper bounds of the original nonlinear model to produce a near-optimal solution to the MTNS design. This reformulated linear model can be solved with off-the-shelf commercial solvers (e.g., Gurobi). Two numerical examples are used to demonstrate the applicability of the proposed model and its effectiveness in reducing system costs.
Metrics
Details
- Title
- Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model
- Creators
- Mingyang Pei - South China University of TechnologyPeiqun Lin - South China University of TechnologyJun Du - Beijing Jiaotong UniversityXiaopeng Li - University of South FloridaZhiwei Chen - University of South Florida
- Publication Details
- Transportation research. Part E, Logistics and transportation review, v 147, 102240
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000633034800018
- Scopus ID
- 2-s2.0-85100374524
- Other Identifier
- 991021889911004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Economics
- Engineering, Civil
- Operations Research & Management Science
- Transportation
- Transportation Science & Technology