G4 Apps. Intelligent Vehicles ITS Canada ATMS Detection Webinar June 13, 2013

Transcription

1 Intelligent Vehicles ITS Canada ATMS Detection Webinar June 13, 2013

2 Reducing costs, emissions. Improving mobility, efficiency. Safe Broadband Wireless Operations Fusion: Vehicles-Agencies Technologies, Data Applications as Services Data Infrastructure Vehicle Web Design, Integration

3 Objectives - Demands Spatial Accuracy Km s 100M s Meters Safety Operation Information Planning Cm s msec seconds minutes days Latency

4 Innovation Rates Innovation Exponential Linear Time

5 Evolving Technologies, Vehicles A Continuously Evolving Composite By area, by road, by needs As device and vehicle functionality advances As penetration increases, decreases Most value in cooperation with newest vehicles Older vehicles safe for all, no less benefits Best technologies, most cost effective Fused technologies, algorithms Coordinated management view, messages Connected Vehicle Loosely Connected Vehicle New Systems Existing Systems

6 Intelligent Vehicles? Current Vehicles LDW, ABS Radar, ACC Head Units Smart Phones Connected Vehicles USDOT OEM Program Autonomous Vehicles Self Driving, Standalone Awareness Data, services, driving assistance Drivers, vehicles Agencies Third parties

7 Autonomous Vehicles Self driving Self reliant no intelligent infrastructure needed.. No Connectivity needed. Extensive sensors, algorithms

8 Autonomous Vehicles: Active Players, Timelines General Motors: Autonomous Driving: Reducing Accidents and Increasing Independence The dream of a car that can drive itself is closer to reality than you might think. In fact, we expect semiautonomous vehicles to be available to customers before the end of this decade and the technology for fully autonomous vehicles capable of navigating the roadways ready during the next decade.

9 Autonomous Vehicles Key Benefits Consumer interest Moving at faster pace of innovation Connected vehicles may clear paths Safer and accepted as such Tighter packing at higher speeds Dynamic traffic management More efficient than mass transit? Key Challenges Cost Operation in snow, rain Operation in complex environments Liability

10 Connected Vehicles: How it Works Capabilities, Awareness Vehicles have GPS, DSRC, ( cellular data), processors, driver interface, vehicle interface Infrastructure has intelligence, DSRC, SPaT (CICAS) Maps, assets, conditions Actions Each vehicle broadcasts location, heading, speed and more every 100ms Each vehicle receives messages from other vehicles and infrastructure On Board Unit (OBU) calculates collisions etc., warns driver, other actions

11 Collision Warning

12 Traffic Signal Violation Warning The in-vehicle system will use information communicated from infrastructure located at traffic signals to determine if a warning should be given to the driver. The communicated information would include traffic signal status and timing, traffic signal stopping location or distance information, and directionality. The type of road surface and weather conditions near the traffic signal may also be communicated as this could be used to better estimate braking distance.

13 Adaptive Traffic Signal Control Reduced need for dedicated traffic sensors CVs provide much broader range of data Enables new control strategies such as: Dilemma zone (dynamic amber duration) Enhanced coordination (platoon tracking) Queue balancing/spillback control Transit priority Integration with dynamic lane markings Traveller information 68% of collisions involving bicyclists occurred at intersections 30% of fatal collisions and more than 50% of personal injury collisions occur at intersections or are related to intersection operations

14 CV Safety Pilot, Timeline USDOT Safety Pilot Underway since August 2012 USDOT, MDOT 2500 light vehicles, 30 heavy, 3 transit 30+ general Roadside Units 13 Intelligent signal controllers Key Milestones NHTSA regulation for light vehicles 2013 Likely all new vehicles MY 2018 NHTSA and FMCSA regulations for heavy vehicles in 2014 Includes aftermarket devices Likely phase in 2016 State DOT programs Intelligent corridors 2016

15 Loosely Connected Vehicles Intelligence in vehicles Mobile Browsing Road Signs Security, privacy Geo data Traffic Alarms Events Vehicle probe Servers Application Data etc. Control Center Operations grade accuracy, latency Safe driver interface Safe operation during loss of connection Distributed interactive system

16 Border Wait Time Duty Free Toll Facility CBSA Auto Primary Inspection CBSA Truck Primary Inspection Driver Information Trip planning, at decision points, in zone BWT multiple crossings Individual remaining time Incident recognition, adapt Planned events US-Bound Truck Staging Area CBP Auto Primary Inspection Duty Free Agencies Real time Current wait time by vehicle type Accurate within 5 minutes with 3% vehicles participating Ends of queue locations Historic actuals Self adapting algorithms CBP Truck Primary Inspection

17 Traditional ITS Reliable, safety level Expensive $100Ks per crossing Generally limit coverage Feedback via VMS, website Vehicle type data awkward Border Wait Time: Evolution, Hybrids Loosely Connected Intelligent Vehicle Operations level Infrastructureless no cost, wide coverage Very inexpensive only the design cost Data by vehicle type Feedback to individual via device Multiple crossing well in advance BUT requires opt in BT/WiFi etc. Information level Inexpensive $10Ks per crossing Infrastructure based limit coverage Feedback via VMS, website Vehicle type data awkward Connected Vehicle Safety level Requires infrastructure provides safety Vehicle type data Feedback to individual via device Multiple crossing well in advance Interactive with Loosely Connected system

18 Hybrid Solution for Special Events General traffic monitored by Bluetooth/WiFi Event vehicles (buses, participants, goods) contain loosely connected vehicle intelligence Restricted lane travel time monitoring, management Communications to drivers Service Level Agreement audit trail