Freeway Travel Time Estimation using Existing Fixed Traffic Sensors - A Computer-Vision-Based Vehicle Matching Approach
| 项目名称： | Freeway Travel Time Estimation using Existing Fixed Traffic Sensors - A Computer-Vision-Based Vehicle Matching Approach |
| 摘要： | Travel time information is of interest to both road users and road network operators. The direct travel time estimation method such as probe vehicles has high accuracy but it requires a high probe rate to collect the complete travel time information of a road network, which is too costly for the daily operation of a road network. The indirect method by point sensors assumes stable speed within a roadway segment and it has low accuracy when the traffic becomes congested. The project explores a fundamental advancement in the theoretical and practical research related to travel time estimation in a freeway network by matching vehicles in a network of traffic surveillance cameras. The accurately computed travel time will sustain the transportation system in a manner that is more effective, more efficient, and more economic competitive. |
| 状态： | Completed |
| 资金： | 38681.00 |
| 资助组织： | Research and Innovative Technology Administration |
| 执行机构： | Missouri University of Science & Technology, Rolla |
| 开始时间： | 20130701 |
| 实际结束时间： | 20141231 |
| 主题领域： | Data and Information Technology；Design；Highways；Operations and Traffic Management；Planning and Forecasting |
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