Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Traffic Capacity Estimate of Personal Rapid Transit System based on Digraph Model

소형자동궤도차량 시스템의 그래프 모델 기반 수송능력 추정

  • Won, Jin-Myung (Univ. of Waterloo, Dept. of Electrical and Computer Engineering)
  • Published : 2007.03.01
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Abstract

This study proposes a new methodology to estimate the traffic capacity of a personal rapid transit(PRT) system. The proposed method comprises three steps. The first step models the guideway network(GN) of PRT as a digraph, where its node and link represent a station and a one-way guideway link between two stations, respectively. Given local vehicle control strategies, the second step formulates the local traffic capacities through the nodes and links of the GN model. The third step estimates the worst-case local traffic demands based on a shortest-path routing algorithm and an empty vehicle allocation algorithm. By comparing the traffic estimates to the local traffic capacities, we can determine the feasibility of the given GN in traffic capacity.

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