Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets

摘要

AbstractWe develop and investigate reliable services for autonomous freight and passenger transport in urban areas. We consider the individual requirements of travelers for reliable arrival times. To ensure these in an environment of congested urban traffic networks, we investigate how much buffer we need while avoiding excessive idle times. Using the traffic simulation MATSim, we derive time-dependent travel times, integrate them into offline buffer planning, and evaluate the resulting tours. We implement and compare the use of standard deviation and an adapted linear programming model to define buffers and to enable more reliable transportation services at affordable costs.