An Integrated Bus Routing Control Platform for Autonomous Bus Driving based on Traffic-Demand Trade-off

초록

Data conversion of the current system is essential for the commercialization of autonomous buses. The biggest advantage of autonomous buses is that they can follow flexible routes according to traffic demand. If a program automatically finds the optimal route depending on the time of day or traffic demand, then it will be very helpful for the commercialization of autonomous buses. Because it is most important to gather data such as the locations of bus stops, this paper proposes a method of creating a platform based on the bus stop data provided by Daegu City. Currently, Daegu City provides all locations and demand for bus stops. Visual Studio was used to classify the data according to Daegu's districts, and a platform to find the optimal route was created using the modified Dijkstra algorithm, which made it possible to simulate flexibly according to changes in data. © 2022 IEEE.

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