Constructing a Traffic Information Providing System Utilizing Multi-Source Information
| Autor: | Masayuki Numao, Kouji Kagawa, Satoshi Kurihara, Junji Yano, Hiroshi Tamaki, Tetsuo Morita |
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| Rok vydání: | 2010 |
| Předmět: |
STREAMS Integrated Intelligent Transport System
Artificial Intelligence Computer science Real-time computing Navigation system Floating car data Construct (python library) Prediction system Vehicle Information and Communication System Intelligent transportation system Software Multi-source Simulation |
| Zdroj: | Transactions of the Japanese Society for Artificial Intelligence. 25:394-399 |
| ISSN: | 1346-8030 1346-0714 |
| Popis: | To realize an effective ITS(Intelligent Transport Systems) services, such as a traffic jam prediction system or car navigation system, the traffic information like average traffic speed is indispensable. However, current systems providing traffic information have serious problems about lack of data. Hence, we construct a system which provides traffic information, which complements lack data using incomplete probe and VICS(Vehicle Information and Communication System) data. The system utilizes multi-information such as real time/stored/diffusion/succession information effectively. We verified the performance of the system through experiments using probe/VICS data of Nagoya city, and confirmed beneficial results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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