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

SBIR 第一阶段：用于移动性和安全性的 SmartNet 应用 (SAMS)

• 批准号: 1142381
• 负责人: Pravin Varaiya
• 金额: $ 14.62万
• 依托单位: Sensys Networks, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2012-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1142381&HistoricalAwards=false
• 关键词: SBIR; Phase; SmartNet; Applications; Mobility

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.

这个小型企业创新研究(SBIR)第一阶段项目将致力于一项能够显著提高交通流动性和安全性的创新。这项研究是基于一个开放的无线传感器网络平台，该平台支持多种感知模式，并对所有测量数据进行时间戳。传感设备包括探测车辆的磁性传感器；探测自行车、行人和停放车辆的新型微型雷达传感器；定位车辆的基于GPS的传感器；测量交通信号相位的冲突监测卡；以及环境传感器，这些传感器可以在价格变得更低时添加。提出的概念可以逐步部署，以扩大感知能力和覆盖范围；它可以在一个月内部署在城市所有主要干线上。由于时间同步，不同的数据源可以组合在一起，开发关于十字路口安全、干线延误和排放、信号协调、交通优先、车辆位置和停车可用性的创新应用程序。今天，这些信息无法获得(例如十字路口安全)或需要特殊用途的系统(例如行人在场)。该项目的更广泛影响/商业潜力将使城市管理部门受益。交叉口控制不善导致了主干道5%至10%的交通延误。交通拥堵每年让高峰期的旅行者损失38小时的旅行时间和26加仑的燃料。36%的撞车事故与十字路口有关。面对糟糕的道路管理带来的高昂成本，城市管理部门正寻求分析数据，以高效地提供交通服务。这种“分析”方法通过提高移动性和安全性带来了丰厚的红利。然而，今天收集数据来实施这种方法的成本高得令人望而却步。现有的路口安全产品主要是红灯执法(RLE)摄像头。RLE存在争议。公路安全保险研究所(IIHS)的一份报告称：超过25%的司机反对闯红灯摄像头；他们认为摄像头可能会出错，被用来为政府创造收入，而不是为了安全；因为司机加速闯红灯或突然停车而被追尾而导致更多撞车事故；或侵犯隐私。