Abstract
Both passenger demand and service supply are among the most important factors that determine the performance of urban rail transit system. It is not easy to find out optimal solution for the match between the passenger demand and service supply with traditional methods, due to the complexity of the combinatorial intelligent supply - demand matching problem. In order to get the comprehensively optimal matching degree, this paper transforms the multi-criteria problem into the distributed artificial intelligence optimization by using multi-agent dynamic interaction technique. On the demand side, the dynamic passenger traffic demand with agents is modelled from perspective of boundedly rational travel decision. On the supply side, the dynamic service supply of train traffic with agent is modelled. The headway time is designated as the main decision variable, for the key link between the passenger demand and service supply is the headway time in different time-of-day intervals. To make the passenger demand more closely matched with service supply in urban rail transit network system at the reasonable travel cost and operational cost, the calculation formula for matching degree is proposed, along with the distributed system architecture for agent-based matching mechanism, and the negotiation-based iterative mechanisms for balancing. The proposed methods are validated on the simulation platform NetLogo. The simulation results emphasize the importance of representing the supply side and the demand side jointly/interactively. These findings are meaningful for policies on both development of efficient capacity usage strategies of urban rail transit network and provision of high level of service for passengers.
Highlights
Urban Rail Transit system is a particular kind of homogeneous railway system
The global problem faced by the public transport agencies consists of determining how to offer a good-quality service to the passengers while maintaining reasonable asset and operating costs
The objective of our study is to provide a passenger demand—service supply matching method with the consideration of both the essential interactions between the train flow and passenger flow, and the infrastructure dimension of URT lines or stations
Summary
Urban Rail Transit (abbreviated as URT) system is a particular kind of homogeneous railway system. This study aims at the co-evolution process iteratively between passenger flow assignment (route choice) and train operation plan (transit service network design), within certain period over the URT network with information systems to users at stops, by considering both user equilibrium (boundedly rational user equilibria) and system optimal simultaneously. Train/vehicle congestion and infrastructure/track network capacity in public transport assignment are not the same problems [36] Considering both of them, the flow-dependent formula for calculation of minimum route travel time π(r) for OD pair w of passenger agent p on route r is set as formula (2). The operational characteristics, e.g. frequencies or headways are typically determined on the supply side, through the calculations based on expected passenger volumes or by applying transit assignment techniques, considering the desired load factors, fleet size.
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