| Title |
Understanding Intra-regional Flow of Vehicles Using Automatic License Plate Recognition |
| ID_Doc |
40306 |
| Authors |
Aihara, K |
| Title |
Understanding Intra-regional Flow of Vehicles Using Automatic License Plate Recognition |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-031-05463-1_9 |
| Abstract |
In order to realize a smart city, it is essential to understand the ever-changing flow of people in the city. Regarding transportation by public transportation, such as trains, bus, and taxis, probe information generated from their operational data of such services are one of the clues, but private cars are operated independently by the citizens and out of such probe data. It is not easy to comprehensively grasp their dynamics because there are also social demands for privacy protection. In this paper, in order to exceed the limit of covering many mobile objects with probe data alone, a hybrid of fixed-point observation on the environment side and the probe is used to obtain an outline of inbound and outbound to the target area and also transitions of major points in the area. The methodology for grasping dynamics is introduced. Here, cameras are installed at major spots and transportation hubs in the city to identify individual vehicles. |
| Author Keywords |
ITS; Smart city; Crowdsourcing; Drive recording |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000870124200009 |
| WoS Category |
Computer Science, Cybernetics; Computer Science, Theory & Methods; Ergonomics |
| Research Area |
Computer Science; Engineering |
| PDF |
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