Wireless Sensor Networks For Traffic Surveillance

用于交通监控的无线传感器网络

• 批准号: 0408627
• 负责人: Pravin Varaiya
• 金额: $ 49.54万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0408627&HistoricalAwards=false
• 关键词: Wireless; Sensor; Networks; Traffic; Surveillance

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.

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，用于两种应用：(1)高速公路和城市交通测量；(2)减少碰撞的“智能”十字路口。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（乘用车、面包车、公共汽车、卡车）。技术上的挑战在于设计：(1)通信协议消耗的能量非常少，以至于网络节点可以使用两节AA电池使用数年；(2)能够以比现有技术更高的精度和更低的延迟估计交通特征的信号处理算法。交通监控系统提供的信息用于通过更有效的运营（减少拥堵，减少事故率）和向旅行者提供更好的信息（减少旅行时间）来提高交通系统的生产力。公路拥堵每年造成的损失为70亿美元，交通事故每年造成的损失为2000亿美元。一个广泛而可靠的交通监控系统可以大大降低这些成本。所提出的研究也将有助于传感器网络的设计，用于定期进行测量并且必须在非常严格的延迟保证下交付的应用。