SBIR Phase I: SmartNet Applications for Mobility and Safety (SAMS)

这个小企业创新研究（SBIR）第一阶段项目将寻求一种能够显著改善交通机动性和安全性的创新。本研究基于一个开放的无线传感器网络平台，该平台支持多种传感模式，并对所有测量进行时间戳。传感模式包括探测车辆的磁传感器；新型微型雷达传感器可以探测自行车、行人和停放的车辆；定位车辆的gps传感器；测量交通信号相位的冲突监控卡；环境传感器可以随着价格的降低而增加。建议的概念可逐步部署，以扩大感应能力和覆盖范围；它可以在一个月内部署在城市的所有主要交通要道上。由于时间同步，不同的数据源可以结合起来开发有关交叉路口安全、动脉延迟和排放、信号协调、交通优先级、车辆位置和停车可用性的创新应用。今天，这些信息是不可用的（例如十字路口安全）或需要特殊目的系统（例如行人存在）。该项目的广泛影响/商业潜力将使城市管理部门受益。在主要道路上，糟糕的交叉口控制造成了5%至10%的交通延误。交通拥堵使高峰时期的旅客每年花费38小时的旅行时间和26加仑的燃料。36%的交通事故与十字路口有关。面对糟糕的道路管理带来的高成本，城市管理部门正在寻求分析数据，以有效地提供交通服务。这种“分析”方法通过提高机动性和安全性带来了丰厚的回报。然而，目前收集数据来实现这种方法的成本高得令人望而却步。现有的十字路口安全产品主要是红灯执法（RLE）摄像头。RLE是有争议的。公路安全保险协会（IIHS）的一份报告指出：超过25%的司机反对红灯摄像头；他们认为摄像头会犯错，被用来为政府创造收入，而不是为了安全；由于司机闯红灯加速或突然停车被追尾，导致更多的撞车事故；或者侵犯隐私。

This Small Business Innovation Research (SBIR) Phase I project will pursue an innovation that can dramatically improve traffic mobility and safety. This study is based on an open wireless sensor network platform that supports many sensing modes, and time-stamps all measurements. The sensing modalities include magnetic sensors that detect vehicles; new micro-radar sensors that detect bicycles, pedestrians and parked vehicles; GPS-based sensors that locate vehicles; conflict monitoring cards that measure traffic signal phase; and environmental sensors that can be added as they become cheaper. The proposed concept can be incrementally deployed to augment sensing capability and coverage area; it can be deployed over all major arterials in a city within one month. Being time-synchronous, different data sources can be combined to develop innovative applications about intersection safety, arterial delay and emissions, signal coordination, transit priority, vehicle location, and parking availability. Today, this information is unavailable (e.g. intersection safety) or needs special purpose systems (e.g. pedestrian presence.The broader impact/commercial potential of this project will benefit city administrations. Poor intersection control causes 5 to 10 percent of traffic delay on major roads. Congestion costs the peak-period traveler 38 hours of travel time and 26 gallons of fuel annually. 36 percent of crashes are intersection-related. Faced with this high cost of poor road management, city administrations are looking to analyze data to efficiently deliver transportation services. This "analytics" approach brings rich dividends through improved mobility and safety. However, collecting the data to implement this approach today is prohibitively expensive. Existing intersection safety products are primarily Red Light Enforcement (RLE) cameras. RLE is controversial. An Insurance Institute of Highway Safety (IIHS) report states: More than 25 percent of drivers oppose red light cameras; they believe that cameras can make mistakes, are used to generate revenue for governments rather than for safety; lead to more crashes because drivers speed up to beat the red light or stop suddenly and are rear-ended; or invade privacy.