SBIR Phase I: SmartNet Applications for Mobility and Safety (SAMS)
SBIR Phase I: SmartNet Applications for Mobility and Safety (SAMS)
批准号:
1142381
负责人:
Pravin Varaiya
金额:
$14.62万
依托单位:
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
项目状态:
已结题
起止时间:
2012-01-01 至 2012-10-31
中文摘要
这个小企业创新研究(SBIR)第一阶段项目将追求一种创新,可以大大提高交通的流动性和安全性。本研究是基于一个开放的无线传感器网络平台,支持多种传感模式,并时间戳所有的测量。 传感模式包括检测车辆的磁传感器;检测自行车,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;以及随着价格的下降而增加的环境传感器。 所提出的概念可以逐步部署,以增加传感能力和覆盖范围;它可以在一个月内部署在城市的所有主要干道上。 由于时间同步,不同的数据源可以组合在一起,开发有关交叉口安全、动脉延迟和排放、信号协调、交通优先、车辆位置和停车可用性的创新应用。目前,这些信息尚不可用(如十字路口安全)或需要特殊用途的系统(如行人存在)。该项目更广泛的影响/商业潜力将使城市管理部门受益。 糟糕的交叉口控制导致主要道路上5%到10%的交通延误。高峰期的交通拥堵每年花费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。面对道路管理不善带来的高昂成本,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”方法通过提高移动性和安全性带来了丰厚的红利。然而,收集数据来实现这种方法今天是昂贵的。 现有的十字路口安全产品主要是红灯执法(RLE)摄像头。RLE有争议。 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;他们认为摄像头可能会犯错误,用于为政府创造收入,而不是为了安全;导致更多的事故,因为司机加速闯红灯或突然停车并被追尾;或侵犯隐私。
英文摘要
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.
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