Original scientific paper
https://doi.org/10.7307/ptt.v30i6.2733
A Passenger Flow Routing Model for High-speed Railway Network in Different Transportation Organization Modes
Ying Wang
; Beijing National Railway Research & Design Institute of Signal & Communication
Bao-Ming Han
; School of Traffic and Transportation, Beijing Jiaotong University
Jia-Kang Wang
; School of Economics and Management Civil Aviation Management Institute of China
Abstract
Reasonable selection of passenger flow routes considering
different transportation organization modes can meet
the demands of adapting to large-scale high-speed railway
networks and improving network efficiency. Passenger flow
routing models are developed to find and optimize a set
of passenger flow routes for a high-speed railway network considering different transportation organization modes. In this paper, we presented a new approach minimizing the operating costs, including traveling cost, cost of travel time differences between different lines, and penalties for the inter-line. The network was reconstructed to solve the directed graph with four nodes (node-in-up, node-in-down, nodes-outup, and nodes-out-down) indicating one station. To tackle our problem, we presented an integer non-linear programming model, and direct passenger demand was guaranteed owing to volume constraints. Binary variables were introduced to simplify the model, and the algorithm process was optimized. We suggested a global optimal algorithm by Lingo 11.0. Finally, the model was applied to a sub-network of the Northeast China railway system. Passenger flow routes were optimized and the transportation organization mode was discussed based on passenger volume, traveling distance, and infrastructure.
Keywords
Hrčak ID:
214139
URI
Publication date:
22.12.2018.
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