| Author: | Cheung, Man-kit Calvin |
| Title: | An enhanced real-time path finding methodology |
| Degree: | M.Sc. |
| Year: | 2013 |
| Subject: | Global Positioning System Route choice -- Mathematical models. Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Land Surveying and Geo-Informatics |
| Pages: | viii, 96 p. : ill. (some col.) ; 30 cm. |
| Language: | English |
| Abstract: | Vehicle Navigation System (VNS) device is popular nowadays. Many vehicles are equipped with them for location identification or route searching purpose. As such vehicle navigation device is a standalone system and mainly adopts the pre-installed road network data, it generally cannot make use of the current traffic information for road network analysis. Therefore, it is limited to providing the shortest distance path result for the driver. When the traffic congestion occurs, such system is impossible to provide alternative solution for the user. Even though there are some countries use the Intelligent Traffic System (ITS) for gathering and disseminating the real-time traffic information to drivers, it must rely on many expensive road sensors and electronic display boards installed on roads. Due to its limitations, it cannot be applied everywhere. In this paper, a new system design is proposed to accommodate this situation. The proposed system can be more simply and conveniently capture the current traffic flow information through the VNS with wireless transmission support. It will automatically determine the occurrence of traffic congestion based on the captured real-time traffic information and provide the updated fastest path result to drivers. In order to perform the efficient fastest path analysis when congestion is occurred, a new recalculation method is proposed that can make use of the previous fastest path calculation results to efficiently reduce the number of vertices examined in A* algorithm. Two constraints of A* algorithm applied in real road network are also discussed in this paper. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b25987343.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.77 MB | Adobe PDF | View/Open |
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