Decision making algorithm for bus passenger simulation during the vehicle design process
Artikel i vetenskaplig tidskrift, 2013

This paper presents a bus passenger decision making algorithm that can be applied to evaluate a new bus design using agent-based simulation techniques. For each single passenger, the algorithm builds a ranked list of available targets (seats and standing areas) according to their preferences and selects the most convenient one. The algorithm is fitted to work with a generic parametric passenger model and allow differentiating several passenger types managing their preferences regarding the entry door, seat location and standing area, among others. The differences in these preferences allow us to distinguish the types of bus passenger. The algorithm also takes into account the variation of preferences according to the amount of passengers onboard. Four fill-in modes from a nearly empty bus to maximum capacity have been implemented. To evaluate the performance of the algorithm, two case studies have been implemented within the XJTEK AnyLogic simulation environment. The decision making algorithm has been used to model the behaviour of the eight types of passengers in two different bus layouts, one with three doors and the other with five. The types of passengers were defined in a previous work from 100 observations at bus stops and onboard buses in Gothenburg, Bremerhaven and Rome. The results prove that the passenger decision making algorithm can be effectively used to evaluate a new design of a bus layout using agent-based simulation techniques estimating the parameters that measure quality of service (passengers’ satisfaction and dwell time among others).

bus passenger

public transportation

agent based simulation

decision making

autonomous agent

vehicle design


Tomasz Schelenz

Tecnun University of Navarra

Ángel Suescun

Tecnun University of Navarra

MariAnne Karlsson

Chalmers, Produkt- och produktionsutveckling, Design and Human Factors

Li A B E Wikström

Chalmers, Produkt- och produktionsutveckling, Design and Human Factors

Transport Policy

0967-070X (ISSN) 1879310x (eISSN)

Vol. 25 25 178-185


Annan data- och informationsvetenskap

Transportteknik och logistik


Hållbar utveckling





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