An On-Demand Alternate Transportation Service System for Public Transportation using Real-Time Multi-agent Technology
Abstract
For medium and large-scale urban rail services, any disruption of the operating schedule due to signal malfunction or accident involving injury or death can have wide ranging effects throughout the city. When such incidents occur, alternate means of transportation such as temporary bus services are arranged, but currently, operation of such buses is decided onsite. This research proposes a system that links agents in a multi-agent simulation to real-world transportation service companies and passengers and is able to make predictions within several minutes of an incident, of the operating state and transportation conditions 1 to 3 hours later, to decide a plan for operating alternate transportation based on these predictions, and to present this plan to bus companies and passengers in an on-line fashion. The results of simulations using a prototype of this system indicated that it will be able to facilitate bus companies to provide alternate transportation, and passengers to use such transportation, within five minutes of an incident occurring in a public transportation service on the scale of a city of one million people.
References
Malachy Carey,David Lockwood, "A Model, Algorithms and Strategy for Train Pathing", 1995, Journal of the Operational Research Society, Issue 8 Volume 46.
JF Cordeau, P Toth, D Vigo, "A survey of optimization models for train routing and scheduling", 1998, Transportation Science, Volume 32, Issue 4 Pages 306-404.
A Caprara, M Fischetti, P Toth, "Modeling and solving the train timetabling problem", 2002, Operations Research, Vol. 50, No. 5, Pages 851-861,
Ghoseiri, K., Szidarovszky, F., Asgharpour, M.J., "A multi-objective train scheduling model and solution", 2004, Transportation Research Part B, 38, pp. 927-952.
Yu-Hern Chang, Chung-Hsing Yeh, Ching Cheng Shen, "A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line", 2000, Transportation Research Part B: Methodological, Volume 34, Issue 2, Pages 91-106.
Michael Balmer, Kai Nagel, Bryan Raney, " Large-Scale Multi-Agent Simulations for Transportation Applications", Intelligent Transportation Systems, 2004
N Cetin, K Nagel, B Raney, A Voellmy, "Large-scale multi-agent transportation simulations", 2002, Computer Physics Communications, Volume 147, Issues 1-2, Pages 559-564.
Raney, B.; Nagel, K., "An improved framework for large-scale multi-agent simulations of travel behaviour", 2006, Towards better Performing Transport Networks, Pages 305-347.
Andreas Schadschneider, Hubert Klupfel, Tobias Kretz, Christian Rogsch, Armin Seyfried, "Fundamentals of Pedestrian and Evacuation Dynamics", 2009, "Multi-Agent Systems for Traffic and Transportation Engineering(IGI Global), Pages 124-154.
AJ Heppenstall, AT Crooks, LM See, M Batty, "Methods, Techniques and Tools for the Design and Construction of Agent-Based Models", 2011, "Agent-based models of geographical systems(Springer), Pages 219-410.
Jeffrey L Adler, Victor J Blue, "A cooperative multi-agent transportation management and route guidance system", Transportation Research Part C: Emerging Technologies. 10. pp. 433-454.
Andre Hanisch, Juri Tolujew, Klaus Richter, Thomas Schulze, "Modeling people flow: online simulation of pedestrian flow in public buildings", Proceedings of the 2003 Winter Simulation Conference, pp. 1635-1641.
Nebi Sumer, "Personality and behavioral predictors of traffic accidents: testing a contextual mediated model", 2003, Accident Analysis & Prevention, Volume 35, Issue 6, Pages 949-964.
Emilio Moyano Diaz, "Theory of planned behavior and pedestrians' intentions to violate traffic regulations", 2002, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 5, Issue 3, Pages 169-175.
X. Pan, C. S. Han, K. Dauber, and K. H. Law, "A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations," 2007, Ai & Society, vol. 22, pp. 113-132.
E.Ben-Elia, D Ettema, "Rewarding rush-hour avoidance: A study of commuters' travel behavior", 2011, Transportation Research Part A: Policy and Practice, Volume 45, Issue 7, Pages 567-582.
