Bust Root Timetable
- INTRODUCTION
ABSTRACT
Bus route system is the fundamental transportation device for aged people and students, and has an important role in every province. However, passengers decreases year by year, therefore we have developed the shortest path searching system called “BUS-NET” as a web application to sustain the public transport. Here, we take up generation of timetables. In general, timetable generation is considered as a very simple problem.
However, there are some difficult problems. Firstly, bus stops of the same name are managed as one bus stop in the database of our system on grounds that error and cost decrease. Therefore, when timetables are generated, such bus stops must be distinguished. Secondly, there are so many bus stops in the timetables of bus route. However, all of them are not needed for an individual user in most cases. Thus, some bus stops may be excluded when a user intends to obtain a timetable of a bus route. In this project, we report on the algorithms to solve those problems and the implementations, experiments of the functions.
To design a fuzzy controller for determining behavior consistent information based control strategies for route guidance in a dynamic vehicular traffic system.
This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behavior consistent (BC) information-based control strategies to improve the performance of congested dynamic traffic networks. By adjusting the associated membership function parameters to better respond to nonlinearities and modeling errors, the approach is able to enhance the computational performance of the fuzzy control model. Computational efficiency is an important aspect in this problem context, because the information strategies are required in sub real time to be real-time deployable. Experiments are performed to evaluate the effectiveness of the approach. The results indicate that the optimized fuzzy control model contributes in determining the BC information-based control strategies in significantly less computational time than when the default controller is used. Hence, the proposed H-infinity approach contributes to the development of an efficient and robust information-based control
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