Agency: NSF | Branch: Standard Grant | Program: | Phase: SMALL BUSINESS PHASE II | Award Amount: 537.17K | Year: 2013
This Small Business Innovation Research (SBIR) Phase II project should dramatically improve intersection safety and mobility in a practical way. Safety is measured by the risk of collision between pedestrians, bicycles and vehicles; safety is improved by better signal timing, warnings, and possibly enforcement. Mobility is measured by vehicle delay, number of stops, and throughput; it is improved by better signal control, and adaptation to current traffic conditions. Today traffic data collected in 300,000 intersections in the US consists of manual vehicle counts conducted every couple of years; bicycles or pedestrians are almost never measured. Traffic signal settings are based on these inadequate measurements. Safety risk is measured by counting crashes; there is no account of near-crashes. Measurement of intersection performance (level of service, throughput, and delay) is rarely attempted since it requires continuous monitoring of traffic. Nevertheless major signalized intersections do detect the presence of vehicles, and do receive push button signals from pedestrians if they wish to cross. A few intersections have bicycle detectors. What is lacking is the means to collect these measurements and intelligently fuse them to estimate the traffic state in real-time. This innovation is the only system that can do this.
The broader and commercial impact of this innovation is the savings in lives and lost productivity. Inefficient operation of intersections is costly. Poor intersection control causes 295 million vehicle-hours of traffic delay, and annually costs the peak-period traveler $710 in additional travel time and fuel. An estimated 2.3M crashes occurred at intersections in 2008, accounting for 40 percent of 5.8M crashes, 7,421 fatalities (including 4,092 pedestrians) and 733,000 crashes with injuries. Unless urban roads are carefully managed, these mobility and safety costs will only increase as cities try to provide convenient multimodal transportation choices to all citizens, whether it?s by driving, walking, bicycling, or transit, leading to greater interaction between the modal types. But careful management requires the ability to evaluate, predict and identify means to improve intersection mobility and safety. Today the data needed to conduct such studies on a routine basis are not available anywhere. This innovation is the only system that can provide such data in real time. It will be an exceptionally low-cost system that can be installed in a few hours, with data available the next day. This innovation will address the emerging requirements of the recent federal MAP-21 legislation.
Sensys Networks, Inc. | Date: 2013-03-16
A package, wireless sensor module, wireless sensor node and wireline sensor node are disclosed including a radar configured to embed beneath vehicles in pavements, walkways, parking lot floors and runways referred to herein as in ground usage. An access point interfacing to at least one of the sensors is disclosed to provide traffic reports, parking reports, landing counts, takeoff counts, aircraft traffic reports and/or accident reports based upon the sensors messages regarding the radar and possibly magnetic sensor readings. A runway sensor network is disclosed of radar sensors embedded in lanes of at least one runway for estimating the landing count and/or takeoff count effect of aircraft.
Sensys Networks, Inc. | Date: 2012-09-27
The following are disclosed: Vehicle parking detection, sensors and an On-Board Device (OBD) to create a parking session. Radars, microwave antennas, rechargeable power supplies and their power management circuits. A localized communications protocol between the wireless nodes and repeaters within a wireless network is disclosed. Wireless sensors and wireline sensors. The networks and/or systems may support parking spot management/monitoring, vehicle traffic analysis and/or management of stationary and/or moving vehicles, monitor storage areas and/or manage production facilities. These networks and/or systems may be operated to generate reports of incorrectly parked vehicles, such as reserved parking spots for other vehicles, vehicles parked in multiple parking spots and/or overstaying the time they are permitted to park.
Sensys Networks, Inc. | Date: 2011-04-22
Apparatus and methods are disclosed that may be configured to respond to vibrations in a pavement induced by the travel of a vehicle on the pavement. The apparatus may include vibration sensor nodes embedded in the pavement and systems using the response of the sensor nodes to generate vehicle parameters, weight estimates, pavement deflection estimates and vehicle classifications. From these and other data, traffic ticket, tariff and insurance messages about the vehicle may be generated. Processors and processor-units are disclosed. Delivery mechanisms to configure the processor units and entities controlling and/or benefiting from the deliveries are disclosed.
Sensys Networks, Inc. | Date: 2010-12-30
Apparatus and processors for wireless sensor nodes are disclosed emulating increasing the sampling frequency of the sensors of the wireless sensor nodes. Apparatus and processors are disclosed using the improved sensor readings to generate vehicle parameters for vehicles passing near one of the nodes, movement estimates and traffic ticket messages, any of which may be sent to other systems. Some of these embodiments may be used with and/or in the wireless sensor nodes and/or with or in an access point for the wireless sensor nodes. Installation devices and/or servers and/or computer readable memories are disclosed for delivering the operational configurations and/or installation packages and/or program systems to the various embodiments of the apparatus and/or processors.