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Motivation, high level description for a portable IDS system

Motivation, high level description for a portable IDS system. Lee Alexander Pi-Ming Cheng Alec Gorjestani Arvind Menon Craig Shankwitz Intelligent Vehicles Lab University of Minnesota. Original Program. Crash analysis (done by CH2MHill)

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Motivation, high level description for a portable IDS system

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  1. Motivation, high level description for a portable IDS system Lee Alexander Pi-Ming Cheng Alec Gorjestani Arvind Menon Craig Shankwitz Intelligent Vehicles Lab University of Minnesota

  2. Original Program • Crash analysis (done by CH2MHill) • Identification of problematic intersections in partner states (done by CH2MHill) • Design of a local surveillance system for each state who chooses to have one • States build intersection to our specs. • We bring it on line • We collect, archive, and analyze data. • States ready to add Driver Infrastructure Interface for Field Testing.

  3. What we know now. • What we do know about state’s crashes • CH2MHill crash analysis indicated the crash characteristics similar in the states he has analyzed • Far side crashes • Drivers stopping and making subsequent bad decisions • No strong correlation to geometry or sightlines • Still don’t know one step or two for left/straight through maneuvers • Meeting on 18 January • States indicated not much interest in the investment of a surveillance system without active signage • States would like to test the fully functional system.

  4. What we don’t know • Differences in driver behavior as a function of state/region • Need to quantify driver behavior to • Make sure we’re not missing anything • Develop a “universal” driver interface which will work in all regions of the county • How do we answer these questions? • Portable IDS surveillance system

  5. How do we find out? • Portable IDS surveillance system • Take/ship system components to partner states • Work with each state DOT to install system • Establish design early on all states can agree with • Collect data for one month • State DOTs assist with system maintenance • Fuelling generators • Basic infrastructure support • Sensor mounts, theft protection • Checking for vandalism / crash damage • (possibly) rebooting system (unlikely)

  6. Can we do this? • States approve change of scope • Need to determine the level of involvement states willing to assume • More involvement, less overall cost, more bang for “our” buck • Need to determine specific outcomes expected by states.

  7. Program budget • Original project budget: $430K • 8 States promised would be $504K • Spent so far: ~ $75K (CH2MHill crash analysis, meetings, initial portable system design) • Encumbered: ~$105 • CH2MHill remaining analysis, project salaries • Leaves: $250K • ~$175K system hardware & construction • ~$35K travel and system shipments • ~$40K salaries for data analysis and report writing

  8. Program budget: Assumptions • State DOTs willing to visit site, refuel, check system status? • Saves project cost of having U personnel on site • System to be designed to require minimal external effort (Lee’s presentation) • DOTs allow laser scanners in median for crossroads surveillance? • Saves HUGE cost of IR cameras and masts. • Much better tracking performance.

  9. Program budget: Assumptions • State DOTs willing to supply basic infrastructure? • Power for main system trailer? (we can do generator, too) • 3#U channel for mounting sensors • Saves shipping costs, provides a measure of security for the equipment (looks permanent, not a target)

  10. Program Modification • What do the states receive? • Quantification of the gaps drivers take at their intersection (look Gaussian, but means/variance vary quite a bit) • Measure of the interaction between minor road and major road traffic • Report documenting their intersection • A Head-start on the deployment of the full system in their state • One channel of video to record intersections • Solicit commitments?

  11. Follow Up from Last Meeting • Vehicle classification performance improvement • Crossroads surveillance performance improvement.

  12. Vehicle Classification: Height Only Med. Truck Lt. Truck SUV Cars Semi. Truck

  13. Vehicle Classification: Length and Height

  14. Crossroads Surveillance: Before and After Before: Open Issue • January : only capture 2/3 straight-thru maneuver • Now: Issue resolved • Extra radar aimed at crossroads detects vehicle motion, eliminates false maneuvers • Future: not use cameras in crossroads • Loop detectors in permanent locations • Laser scanners in median • Approach taken with the portable site

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