| Mobility Allowance Shuttle Transit Services, hereinafter referred to as MAST, is a new mode of Mobile Paratransit. It combines the mobility of the demand response of the public transport system and low-cost operation of public conventional transport system. Though scientific path (area) and a reasonable schedule,it meets the demand of passengers get on or off at different locations, greatly improving the public transport system "Door to Door" service levels.As a new mode of public transport, MAST system can be considered as a special case of the Pickup and Delivery Problem (PDP) with time windows. Its operation mode is of obvious regional characteristics, which including the length and width of service area and the number of checkpoints. As the environment variables of the dispathing model of multi-vehicle MAST system, the length and width of service area and the number of checkpoints have an obvious effect on the vechile scheduling. Therefore, based on further improving the dispatching model of multi-vehicle MAST system, the paper studies the impact of the length and width of the service area and the number of checkpoints on the capability of the system through the simulation program of multi-vehicle MAST system. Moreover, this paper also studies the impact of the scheduling environment variables including the length and width of the service area and the number of checkpoints on the number of vehicles of multi-vehicle MAST system.First of all, this paper summarizes the operating mode and characteristics of the multi-vehicle MAST system. And by studying the service progress of the MAST system, the waiting time of the passengers is divided into two parts, including the expected waiting time and additional waiting time. According to the study of the waiting time of the passengers, this paper improves the multi-vehicle MAST system scheduling model. Secondly, by using MATLAB simulation tools, this paper simulates the multi-vehicle MAST system, which provide a favorable research tools to the configuration of the system; Thirdly, by using simulation program of the system, this paper studies the impact of the length, width, and the number of checkpoints of the service area of these three scheduling environment variable on the objective function of scheduling model (waiting time, travel time and vehicle mileage), which lay the foundation for the study of the impacy of these three factors on the number of vehicle of the system. Lastly, under the circumstances of the different length and width of service area and the number of checkpoints, this article get the data of maximum amount of passengers of unequal vehicles by utilizing the simulated program of multi_vehicle MAST system. Moreover, this paper make a further study on these three scheduling environment variables which affect the the number of vehicle of the system, which provides a theoretical basis for the configuration of the service area of the multi-vehicle MAST system. |