原文传递
Quality of Private Sector Travel-Time Data on Arterials
| 题名： | Quality of Private Sector Travel-Time Data on Arterials |
| 正文语种： | 英文 |
| 作者： | Turner-Fairbank Highway Research Center;Virginia Center for Transportation Innovatio;Leidos, Inc |
| 作者单位： | Jia Hu;Michael D.Fontaine;Jiaqi Ma |
| 关键词： | Private sector data; Arterial speed data; Real-time data quality; Long-term data quality |
| 摘要： | Accurate traffic state information is essential for both travelers and transportation agencies. In the past, traffic condition data were usually collected by a government agency using its own sensors. Recently, a number of private sector companies have started selling traveltime and speed data collected using probe vehicles, which provides a viable opportunity to outsource traffic data collection. Because these data sources and their related algorithms are proprietary, the reliability and accuracy of this private sector data is often an important issue for transpoliation agencies. Previous studies have examined the accuracy of private sector data on freeways, but arterials have not been examined extensively. Arterials represent a fundamentally more challenging environment for probe vehicle data given the larger variance in travel times created by traffic signals and other intermediate access points. In the research, the quality of private sector data on arterials is evaluated by utilizing Bluetooth travel-time data as the ground truth. The evaluation is conducted from two perspectives: the ability to track real-time conditions, and the ability to identify long-term traffic state changes. The study sites are three signalized arterials in the state of Virginia. The results indicate that the private sector data evaluated were not suitable for real-time applications, but could be used to measure long-term traffic state changes for performance measurement programs. |
| 出版年： | 2016 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | Vol.142 |
| 期： | No.4 |
| 页码： | 04016010 |
相关文献
- Evaluating the Quality of High-Resolution Private Sector Data for Providing Nonfreeway Travel Times
- Evaluation and augmentation of traffic data including Bluetooth detection system on arterials
- Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations
- New Model of Travel-Time Prediction Considering Weather Conditions: Case Study of Urban Expressway
- Modeling Individual Travel Time with Back Propagation Neural Network Approach for Advanced Traveler Information Systems
- An Arterial Incident Detection Procedure Utilizing Real-Time Vehicle Reidentification Travel Time Data
检索历史
应用推荐
