Application of agent based simulation for evaluating a bus layout design from passengers’ perspective

This paper shows that agent based simulation can evaluate the performance of different bus layout designs from passengers’ perspective, thus helping bus manufacturers to design new layouts that are more attractive for passengers. Including agent-based simulation in the bus design process is an inexpensive and efficient procedure to evaluate new design concepts (wheel-well position, number of doors, etc.) in relation to the preferences, needs and expectations of current and future passengers. Its main advantage is that these new design concepts are evaluated well before manufacturing the first physical prototype. Bus passengers are modelled and simulated as autonomous agents. Eight different types of passengers, which were elaborated from observations of actual passengers, have been modelled. Passengers’ preferences and features have been implemented using a calibrated making decision algorithm. The paper also presents two case-studies to analyse the sensitivity of the performance of two different bus layouts with different number and distributions of passengers.

[1]  Torbjörn Andersson,et al.  Empirical Studies of Passenger Behaviour and the Creation of Personas. Appendix to D2.1.2. On Board Passenger Flow Simulation Tool. Report to the EBSF project. , 2010 .

[2]  Anthony M. Rufolo,et al.  Cost effectiveness of articulated buses when passenger time is treated as a cost , 1986 .

[3]  D. Hensher Bus Transport: Economics, Policy and Planning , 2007 .

[4]  Luigi dell’Olio,et al.  The quality of service desired by public transport users , 2011 .

[5]  Michael Carreno,et al.  Passenger perceptions and the ideal urban bus journey experience , 2007 .

[6]  MariAnne Karlsson,et al.  Decision making algorithm for bus passenger simulation during the vehicle design process , 2013 .

[7]  Shah Jamal Alam,et al.  Studying emergence of clusters in a bus passengers seating preference model , 2008 .

[8]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  Martin Lowson Idealised models for public transport systems , 2004 .

[10]  Hiroyuki Iseki,et al.  Effects of contracting on cost efficiency in US fixed-route bus transit service , 2010 .

[11]  Anders Ljungberg,et al.  Public transport in towns - Inevitably on the decline? , 2008 .

[12]  R. Risser,et al.  The Challenge of Using Public Transport: Descriptions by People with Cognitive Functional Limitations , 2009 .

[13]  F. Ramjerdi,et al.  Passengers' valuations of universal design measures in public transport , 2011 .

[14]  Alejandro Tirachini,et al.  Modeling public transport corridors with aggregate and disaggregate demand , 2007 .

[15]  Peter R. Stopher,et al.  Service quality––developing a service quality index in the provision of commercial bus contracts , 2003 .

[16]  Luigi dell’Olio,et al.  Modelling user perception of bus transit quality , 2010 .

[17]  S H Han,et al.  Coach design for the Korean high-speed train: a systematic approach to passenger seat design and layout. , 1998, Applied ergonomics.

[18]  John S. Pruitt,et al.  The Persona Lifecycle: Keeping People in Mind Throughout Product Design , 2006 .