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Main Title: Mind the Gap – Passenger Arrival Patterns in Multi-agent Simulations
Author(s): Neumann, Andreas
Kaddoura, Ihab
Nagel, Kai
Type: Article
Language Code: en
Abstract: In most studies mathematical models are developed finding the expected waiting time to be a function of the headway. These models have in common that the proportion of passengers that arrive randomly at a public transport stop is less as headway in-creases. Since there are several factors of influence, such as social demographic or regional aspects, the reliability of public transport service and the level of passenger information, the threshold headway for the transition from random to coordinated passenger arrivals vary from study to study. This study's objective is to investigate if an agent-based model exhibits realistic passenger arrival behavior at transit stops. This objective is approached by exploring the sensitivity of the agents' arrival behavior towards (1) the degree of learning, (2) the reliability of the experienced transit service, and (3) the service headway. The simulation experiments for a simple transit corridor indicate that the applied model is capable of representing the complex passenger arrival behavior observed in reality. (1) For higher degrees of learning, the agents tend to over-optimize, i.e. they try to obtain the latest possible departure time exact to the second. An approach is presented which increases the diversity in the agents' travel alternatives and results in a more realistic behavior. (2) For a less reliable service the agents' time adaptation changes in that a buffer time is added between their arrival at the stop and the actual departure of the vehicle. (3) For the modification of the headway the simulation outcome is consistent with the literature on arrival patterns. Smaller headways yield a more equally distributed arrival pattern whereas larger headways result in more coordinated arrival patterns.
Issue Date: 2016
Date Available: 1-Apr-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): multi agent simulation
passenger arrival pattern
time adaptation
service reliability
multinomial logit
evolutionary algorithm
KISS principle
public transport
Journal Title: International Journal of Transportation
Publisher: SERSC Australia
Publisher Place: Sandy Bay, Australia
Volume: 4
Issue: 1
Publisher DOI: 10.14257/ijt.2016.4.1.02
Page Start: 27
Page End: 40
EISSN: 2287-7940
ISSN: 2287-7940
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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