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ARTERIAL STREET INCIDENT DETECTION USING MULTIPLE DATA SOURCES : PLANS FOR ADVANCE.
| 题名： | ARTERIAL STREET INCIDENT DETECTION USING MULTIPLE DATA SOURCES : PLANS FOR ADVANCE. |
| 作者： | Ivan-John-N |
| 关键词： | Advance-Program-:-illinois; Advance-Program; Arterial-highways; Automatic-incident-detection; Data-fusion |
| 摘要： | This report describes a system that will identify non-recurring capacity reducing incidents on the ADVANCE highway network. This system will use each of three separate incident detection algorithms to process information from several distinct real-time data sources. A data fusion process will then combine the output from these algorithms to make an overall assessment of traffic conditions on the network. Initial plans for implementing the incident detection algorithms and the fusion process using rule based systems and a neural network are presented. |
| 总页数： | Pacific Rim TransTech Conference (1993 : Seattle, Wash.). Proceedings Pacific Rim TransTech Conference .. Vol. 1. 1993. pp429-435 |
| 报告类型： | 科技报告 |
相关文献
- REAL-TIME DATA FUSION FOR ARTERIAL STREET INCIDENT DETECTION USING NEURAL NETWORKS.
- ARTERIAL INCIDENT DETECTION INTEGRATING DATA FROM MULTIPLE SOURCES.
- ARTERIAL INCIDENT DETECTION USING FIXED DETECTOR AND PROBE VEHICLE DATA
- IMPLEMENTATION OF ADVANCE.
- A NEURAL NETWORK MODEL FOR DATA FUSION IN ADVANCE.
- INCIDENT DETECTION ON AN ARTERIAL ROADWAY.
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