A Modified Genetic Algorithm for Solving the Joint Regular Bus Route Design, Express Bus Service Design, and Frequency Setting Problem

Abstract Express bus services, which use faster routes and make fewer stops than regular bus services, are a potential solution to reduce travel time. This study aims to solve the regular bus network design problem, the express service design problem, and the frequency setting problem simultaneously while considering capacity constraints and incorporating deadheading. A hybrid genetic algorithm is modified to solve this integrated problem. A waypoint-based solution representation is proposed to facilitate the design of both regular and express routes. Numerical experiments are set up to demonstrate the performance of the hybrid genetic algorithm and its components, the effects of minimum frequency for regular routes, the characteristics of express routes, the superior performance of simultaneous optimization of regular routes and the express service compared with optimizing the express service after regular routes design.

Authors

Institutions

Publication Details

Journal
Networks and Spatial Economics
Published
2026-06-18
DOI
https://doi.org/10.1007/s11067-026-09765-8
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Modified Genetic Algorithm for Solving the Joint Regular Bus Route Design, Express Bus Service Design, and Frequency Setting Problem

Y. Wang, W. Y. Szeto, Q. He
Networks and Spatial Economics
Transportation Planning and Optimization
article

A Modified Genetic Algorithm for Solving the Joint Regular Bus Route Design, Express Bus Service Design, and Frequency Setting Problem

Y. Wang, W. Y. Szeto, Q. He
article en

Abstract

Abstract Express bus services, which use faster routes and make fewer stops than regular bus services, are a potential solution to reduce travel time. This study aims to solve the regular bus network design problem, the express service design problem, and the frequency setting problem simultaneously while considering capacity constraints and incorporating deadheading. A hybrid genetic algorithm is modified to solve this integrated problem. A waypoint-based solution representation is proposed to facilitate the design of both regular and express routes. Numerical experiments are set up to demonstrate the performance of the hybrid genetic algorithm and its components, the effects of minimum frequency for regular routes, the characteristics of express routes, the superior performance of simultaneous optimization of regular routes and the express service compared with optimizing the express service after regular routes design.

Networks and Spatial Economics
University of Canterbury (NZ), University of Hong Kong (HK)
Openalex Percentile: Top 4%
Transportation Planning and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.