Abstract
With the successful application of automatic fare collection (AFC) system in urban rail transit (URT), the information of passengers’ travel time is recorded, which provides the possibility to analyze passengers’ path-selecting by AFC data. In this paper, the distribution characteristics of the components of travel time were analyzed, and an estimation method of path-selecting proportion was proposed. This method made use of single path ODs’ travel time data from AFC system to estimate the distribution parameters of the components of travel time, mainly including entry walking time (ewt), exit walking time (exwt), and transfer walking time (twt). Then, for multipath ODs, the distribution of each path’s travel time could be calculated under the condition of its components’ distributions known. After that, each path’s path-selecting proportion can be estimated. Finally, simulation experiments were designed to verify the estimation method, and the results show that the error rate is less than 2%. Compared with the traditional models of flow assignment, the estimation method can reduce the cost of artificial survey significantly and provide a new way to calculate the path-selecting proportion for URT.
Highlights
As the basis of network flow assignment calculation, the path-selecting proportion is directly related to the operation and management of urban rail transit (URT), including operation indicators calculating, train plan making, and fare clearing
Simulation experiments were designed to verify the estimation method, and the results show that the error rate is less than 2%
∑ wi = 1, ∀m, n ∈ UsN, i=1 where wi is the between station path-selecting m and station proportion n; fi(tmn) is of the ith path the probability density function of the ith path’s travel time; k is the number of paths between station m and station n; UsN is the set of stations on the URT network
Summary
As the basis of network flow assignment calculation, the path-selecting proportion is directly related to the operation and management of urban rail transit (URT), including operation indicators calculating, train plan making, and fare clearing. Chapleau et al [5] and Rahbee [6] used the AFC data to predict OD matrices and network flow distribution, but only the entry records were used, which could not support the analysis of passengers’ path-selecting behavior. Based on the above background, this paper works on analyzing passengers’ travel time data recorded by AFC system with the theory of mathematical statistics and proposes a new estimation method of path-selecting proportion. This method provides a new idea of network flow assignment for URT
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
