Research and Application of the Beijing Road Traffic Prediction System
As an important part of the urban Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS), short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the av...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/316032 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832546012652109824 |
|---|---|
| author | Ruimin Li Hongliang Ma Huapu Lu Min Guo |
| author_facet | Ruimin Li Hongliang Ma Huapu Lu Min Guo |
| author_sort | Ruimin Li |
| collection | DOAJ |
| description | As an important part of the urban Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS), short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the availability of timely and accurate estimation or prediction of prevailing and emerging traffic conditions. We studied a real-time road traffic prediction system developed for Beijing based on various traffic detection systems. The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. Four key function servers were introduced, namely, the database server, calculation server, Geographic Information System (GIS) server, and web application server. The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. Finally, the prediction performance of the system in practice was analyzed. The application of the system in Beijing indicated that the proposed and developed system was feasible, robust, and reliable in practice. |
| format | Article |
| id | doaj-art-bd30bc164fa94cc5aa3d5262a7478b53 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-bd30bc164fa94cc5aa3d5262a7478b532025-02-03T07:24:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/316032316032Research and Application of the Beijing Road Traffic Prediction SystemRuimin Li0Hongliang Ma1Huapu Lu2Min Guo3Department of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaBeijing Traffic Management Bureau, Beijing 100037, ChinaAs an important part of the urban Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS), short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the availability of timely and accurate estimation or prediction of prevailing and emerging traffic conditions. We studied a real-time road traffic prediction system developed for Beijing based on various traffic detection systems. The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. Four key function servers were introduced, namely, the database server, calculation server, Geographic Information System (GIS) server, and web application server. The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. Finally, the prediction performance of the system in practice was analyzed. The application of the system in Beijing indicated that the proposed and developed system was feasible, robust, and reliable in practice.http://dx.doi.org/10.1155/2014/316032 |
| spellingShingle | Ruimin Li Hongliang Ma Huapu Lu Min Guo Research and Application of the Beijing Road Traffic Prediction System Discrete Dynamics in Nature and Society |
| title | Research and Application of the Beijing Road Traffic Prediction System |
| title_full | Research and Application of the Beijing Road Traffic Prediction System |
| title_fullStr | Research and Application of the Beijing Road Traffic Prediction System |
| title_full_unstemmed | Research and Application of the Beijing Road Traffic Prediction System |
| title_short | Research and Application of the Beijing Road Traffic Prediction System |
| title_sort | research and application of the beijing road traffic prediction system |
| url | http://dx.doi.org/10.1155/2014/316032 |
| work_keys_str_mv | AT ruiminli researchandapplicationofthebeijingroadtrafficpredictionsystem AT hongliangma researchandapplicationofthebeijingroadtrafficpredictionsystem AT huapulu researchandapplicationofthebeijingroadtrafficpredictionsystem AT minguo researchandapplicationofthebeijingroadtrafficpredictionsystem |