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Cooperative Intersection Collision Avoidance Systems – Stop Sign Assist (CICAS-SSA). ITS America 2007 Annual Meeting Session 32 June 5, 2007. Outline. Background Project Overview Status Conclusion Resources. Background. Four CICAS research projects sponsored by USDOT
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Cooperative Intersection Collision Avoidance Systems – Stop Sign Assist (CICAS-SSA) ITS America 2007 Annual Meeting Session 32 June 5, 2007
Outline • Background • Project Overview • Status • Conclusion • Resources
Background • Four CICAS research projects sponsored by USDOT • Cost-Benefit Analysis Tool (USDOT) • Violations (CAMP) • Signalized Left Turn Assist (California) • Stop Sign Assist (Minnesota)
Project Overview • CICAS-Stop Sign Assist (SSA) is being done in partnership with: • USDOT/FHWA • Mn/DOT • University of Minnesota-ITS Institute
Background • What can Stop Sign Assist do? • Alert of approaching vehicles • Inform of gap size • Warn of insufficient gap • Advise against unsafe actions Assist stopped driver in determining insufficient gap to enter or cross
Background • Crashes in rural areas are more severe than in urban areas • 70% of all crashes in Minnesota occur in urban areas • 70% of fatal crashes occur in rural areas • Minnesota’s Trunk Highway System • More rural through/stop intersections (3,920) than all categories of urban intersections (3,714) combined • Between 1998-2000, 62% of all intersection-related fatal crashes occurred at rural through/stop intersections
Background • Stop Sign Assist is also rooted in previous Intersection Decision Support (IDS) work • Minnesota IDS project focused on identifying driver error causal factors, such as: • Driver looks, but does not see other vehicles • Driver misjudges gap or speed of approaching vehicles
Background • Reducing Crashes at Rural Intersections: Toward a Multi-State Consensus on Rural IDS TPF-5(086) is focusing on: • Characterizing rural intersection crashes throughout United States • Identifying regional differences in driver behavior
Project Overview • Project goals are: • Identify driver characteristics and driving factors relevant to safe gap acceptance • Develop gap models and algorithms which will drive the timing of information and warnings • Conduct in-vehicle research at the instrumented intersection to provide refined model of gap acceptance and warning timing • Implement a system consistent and interoperable with other Vehicle Infrastructure Integration (VII) programs • Research, design and develop a deployable Driver Infrastructure Interface (DII) • Conduct field operational test to evaluate algorithm effectiveness • Coordinate with CICAS-V, CICAS-SLTA and CICAS-CBAT
Project Overview • Minnesota test intersection at US52 and CSAH 9 (Goodhue County)
Project Overview Power, Communication Local Processor Radar Sensor
Project Overview Lidar Vehicle Classification
Project Overview Cameras for Crossroad Surveillance (Visible and Infrared)
Project Overview License Plate Reader • Digital Camera • - Remote Trip • - IR Illuminator Humans Read Numbers
Project Overview • Measure gaps as vehicle clears stop line area • Add startup time to determine actual gap • Correlate gap with: - Vehicle Classification - Turning Movement - Median Wait Time - RWIS Data - Time of Day Owner Demographics
Project Overview Portable Data Collection System
Project Overview U of M Driving Simulator • Ability to model precise reproductions of geo-specific locations • Resolution = 2.5 arc-minutes per pixel • 8 channels • 3D surround sound • Car body vibration • Force feedback steering • Power-assist feel on the brakes • 3-axis electric motion system
Project Overview • Infrastructure To Vehicle • Intersection Geometric Map • Intersection state map (location/speed/heading of mainline vehicles within range) • Road weather condition? • Infrastructure gap warning state
Project Overview • Vehicle To Infrastructure • Vehicle classification and characteristics • Turn signal state • Driver gap acceptance parameters • Current in-vehicle gap warning state • Brake state (for future use)? • Anti-lock/traction control state?
Margin Gap Gap Gap Lag Gap Project Overview Compared to baseline, which concept is effective? Baseline Warn Advise Inform/Advise Warn/Advise Lag = Higher compliance
CAMP DVI Status Years One thru Three Years Four and Five IDS CICAS-SSA USDOT Concurrence Situation Analysis Evaluation Methodology Evaluation Scope Concept Study Translation Study Validation Study Pilot FOT DII Concepts Deployable DII Compliant DII Parameters Gap Model Alert/Timing Algorithms FOT
Status • Cooperative Agreement initiated project in November 2006 • Project Management and Risk Management Plans complete • Developing Concept of Operations • Situation analysis/functional scope for DII complete • Data collected complete in states of MN, WI, MI, IA and NC
Status • Main findings to-date: • Mean Accepted Gap = 7.0 Seconds(Ignoring gaps > 10 seconds) • Accepted gap inversely related to traffic volume • Accepted gap bigger with decreased visibility and with increased precipitation • Accepted gap similar for all vehicle classifications (artifact of measuring method)
Conclusion • Stop sign gap acceptance is a real problem • IDS and CICAS solutions have potential to address the problem • Stop sign assistance systems are feasible in a reasonable time period
Resources • National CICAS Program • http://www.its.dot.gov/cicas/index.htm • Minnesota IDS Project • http://www.its.umn.edu/research/applications/ids/index.html • Reducing Crashes at Rural Intersections: Toward a Multi-State Consensus on Rural Intersection Decision Support TPF-5(086) • http://www.pooledfund.org/projectdetails.asp?id=306&status=4
Resources • Ray Starr, Mn/DOT • 651.234.7050. ray.starr@dot.state.mn.us • Ginny Crowson, Mn/DOT • 651.234.7058, ginny.crowson@dot.state.mn.us • Max Donath, U of M-ITS Institute • 612.625.2304, donath@me.umn.edu