2017/04/19 by Thierry van der Spek, van der Spek, Thierry
Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modeling and Simulation Systems #Multiagent Systems (cs.MA) #Railway Systems and Energy Efficiency #Simulation Techniques and Applications #cs.AI #cs.MA
paper · pdf · doi:10.48550/arxiv.1704.05692
arxiv created 2017/04/19 · openalex publication_date 2017/04/19 · arxiv updated 2017/04/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this work a mixed agent-based and discrete event simulation model is developed for a high frequency bus route in the Netherlands. With this model, different passenger growth scenarios can be easily evaluated. This simulation model helps policy makers to predict changes that have to be made to bus routes and planned travel times before problems occur. The model is validated using several performance indicators, showing that under some model assumptions, it can realistically simulate real-life situations. The simulation's workings are illustrated by two use cases.