Traffic Monitoring for Pedestrian and Cyclist Safety Using Deep Learning and Artificial Intelligence
| 项目名称： | Traffic Monitoring for Pedestrian and Cyclist Safety Using Deep Learning and Artificial Intelligence |
| 摘要： | Improving the safety of pedestrians and bicyclists has always been one of the priorities of transportation officials in California. Two of the main goals of Pedestrian and Bicycle Safety Branch under Caltrans� Traffic Operations are developing programs to improve the safety of transportation infrastructures for pedestrians and bicycles; and encouraging research and technology transfer in the field of pedestrian and bicycle fatality. Understanding the movement of people, bicycles, and their interaction with vehicles is critical to avoid traffic accidents and improve safety. Currently, there is not an efficient automated system for monitoring the movement of pedestrians and bicyclists across the state of California and in major urban areas. Such system can also provide valuable information about the traffic stream parameters once implemented and calibrated. This research project will facilitate the aforementioned goals by providing a platform that allows for enhancing and improving safety measures for pedestrians and bicyclists in California using automated systems to monitor, detect, track, and count the flow of pedestrians and bicyclists. |
| 状态： | Active |
| 资金： | 81674 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 执行机构： | Mineta Consortium for Transportation Mobility |
| 主要研究人员： | Pourhomayoun , Mohammad |
| 开始时间： | 20181215 |
| 预计完成日期： | 20200831 |
| 实际结束时间： | 0 |
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