Wireless Sensor Networks For Traffic Surveillance

标题：交通监测的无线传感器网络PI：加州大学伯克利分校的Pravin Varaiya教授摘要：该提案旨在设计、构建和测试用于车辆检测的低成本无线传感器网络，应用于两个领域：(1)高速公路和城市交通测量，以及(2)减少碰撞的智能十字路口。网络必须测量车辆的存在、速度，并且必须对车辆(乘用车、货车、公交车、卡车)进行分类。设计的技术挑战是：(1)低功耗的通信协议，使得网络节点可以在两个AA电池的情况下持续数年；(2)信号处理算法，能够以比现有技术更高的精度和更低的延迟来估计交通特征。交通监控系统提供的信息通过更高效的操作(更低的拥堵，减少的事故率)和更好的信息(减少出行时间)来提高交通系统的生产率。高速公路拥堵每年造成70美元的损失，事故造成2000亿美元的损失。一个广泛而可靠的交通监控系统可以显著降低这些成本。建议的研究也将有助于传感器网络的设计，在这些应用中，测量是定期进行的，并且必须在非常严格的延迟保证下提供。

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.