A SLAM Ⅱ Simulation of Optimal Shuttle Scheduling

Abstract

본 논문에서는 ?? 지역간에 승객을 수송하는 왕복교통체계의 운영계획문제를 다른다. 왕복교통체계는 두 개의 terminal과 한정된 승객을 수송할 수 있는 유한한 차량들고 이루어진다. 차량의 운행은 각 terminal에서 서로 독립적으로, 일정한 간격 혹은 대기행렬의 길이에 따라 이루어진다.

각 terminal에 도착하는 승객의 도착간격시간이 지수분포를 따르며 두 지역사이의 승객수송시간은 uniform distribution을 한다. 최적운영계획은 승객의 평균대기시간, 차량의 사용도, 각 차량의 좌석이용도를 고려하여 결정한다.

각 운영계획에 대한 분석은 SLAM Ⅱ 모의실험언어를 이용하였다.

This paper studies the operating policies of a two-station shuttle system consisting of a fleet of finite size and vehicles of finite capacity which transport passengers between two terminals (each terminal having dispatching control). Passengers arrives at either station according to independent negative exponential processes, and dispatching decisions are made on the basis of fixed-time intervals or queue lengths (grater than zero). The objective is minimization of a total opportunity cost function defined by passenger waiting time, nonutilization of vehicles, and unused passenger seats. The travel time is probabilistic with known distribution and mean. This paper shows by SLAM Ⅱ discrete event simulation techniques that optimal values for any or all of the three parameters (fleet size, vehicle capacty, dispatching interval)can be empirically determined by sensitivity analysis. This simulation model can be adapted to a wide variety of other problems of the shuttle-system.

This paper studies the operating policies of a two-station shuttle system consisting of a fleet of finite size and vehicles of finite capacity which transport passengers between two terminals (each terminal having dispatching control). Passengers arrives at either station according to independent negative exponential processes, and dispatching decisions are made on the basis of fixed-time intervals or queue lengths (grater than zero). The objective is minimization of a total opportunity cost function defined by passenger waiting time, nonutilization of vehicles, and unused passenger seats. The travel time is probabilistic with known distribution and mean. This paper shows by SLAM Ⅱ discrete event simulation techniques that optimal values for any or all of the three parameters (fleet size, vehicle capacty, dispatching interval)can be empirically determined by sensitivity analysis. This simulation model can be adapted to a wide variety of other problems of the shuttle-system.