Abstract
Demand responsive transport (DRT) has become very important in the last years and is being tested in different cities worldwide. Due to the complexity and diversity of these services, their planning is quite challenging. This paper introduces a tool to simulate different types of static DRT services, using the open source micro-simulation Eclipse SUMO (Simulation of Urban MObility) as a framework. The tool was written in Python and calculates the best routes for each DRT vehicle based on information about requests, vehicle fleet and network. As test case, multiple requests between a peri-urban area and the city center of Brunswick (Germany) were simulated for different DRT services. The results show the practicality of the tool as a form of analysis and planning of DRT systems.
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