Wireless Sensor Networks For Traffic Surveillance

职务名称：无线传感器网络的交通监控PI：教授Pravin Varaiya，加州大学伯克利分校摘要：该提案旨在设计，建造和测试低成本的无线传感器网络的车辆检测在两个应用：（1）高速公路和城市交通测量，和（2）“智能”交叉口，以减少碰撞。 该网络必须测量车辆的存在、速度，并且必须对车辆进行分类（客车汽车、货车、公共汽车、卡车）。 技术上的挑战是设计：（1）通信协议，消耗如此少的功率，网络节点可以持续几年与两个AA电池;（2）信号处理算法，能够以比现有技术更高或更低的精度估计交通特征。交通监控系统提供的信息用于通过更有效的操作来提高运输系统的生产率（减少拥堵，降低事故率）和向旅行者提供更好的信息（减少旅行时间）。 高速公路拥堵每年造成70美元的损失，事故每年造成2000亿美元的损失。 广泛而可靠的交通监控系统可以显著降低这些成本。 所提出的研究也将是有用的传感器网络的应用程序中，定期进行测量，必须提供非常严格的延迟保证的设计。

Title: Wireless sensor networks for traffic surveillancePI: Professor Pravin Varaiya, University of California, BerkeleyAbstract:The proposal seeks to design, build and test low-cost wireless sensor networks for vehicle detection in two applications: (1) freeway and urban traffic measurement, and (2) 'smart' intersections to reduce collisions. The network must measure vehicle presence, speed, and it must classify vehicles (passenger cars, vans, buses, trucks). The technical challenges are to design: (1) communication protocols that consume so little power that network nodes can last several years with two AA batteries; (2) signal processing algorithms that can estimate traffic characteristics with accuracies better than and latencies lower than current technologies.Traffic surveillance systems provide the information that is used to improve transportation system productivity through more efficient operations (lower congestion, reduced accident rate) and better information to travelers (reduced travel time). Highway congestion costs $70 and accidents cost $200 billion annually. An extensive and reliable traffic surveillance system can significantly reduce these costs. The proposed research will also be useful in the design of sensor networks for applications in which measurements are made periodically and must be delivered with very strict delay guarantees.