Integrating Connected Vehicle Technologies in Support of Traffic

Integrating Connected Vehicle Technologies in Support of Traffic

Integrating Connected Vehicle Technologies in Support of Traffic Incident Management Steven J. Cyra, PE, PTOE HNTB Fellow, Associate Vice President Traffic Operations/ITS HNTB Corporation Introduction and Definitions Traffic Incident Management (TIM) The planned and coordinated multidisciplinary process to detect, respond to, and clear traffic incidents so that traffic flow may be restored as safely and quickly as possible. Effective TIM reduces the duration and impacts of traffic incidents and improves the safety of motorists,

crash victims and emergency responders. Steven J. Cyra, PE, PTOE Introduction and Definitions Connected Vehicles (CV) Broadly defined as those technologies that provide safe, interoperable, networked wireless communications among/ between vehicles (V2V), the roadside infrastructure (V2I), and users personal communications devices (V2X). Graphic courtesy USDOT R.E.S.C.U.E.M.E. Steven J. Cyra, PE, PTOE

CV Applications Background/Overview Five-year focus on application research, prototyping, demonstration and assessment Over three dozen application concepts developed Formal assessments to measure safety, mobility and environmental impacts Field demonstration assessments supplemented by estimation of future impacts using analytical methods USDOT Wave 1 CV Pilots incorporate multiple concepts Steven J. Cyra, PE, PTOE USDOT Wave 1 CV Pilots Tampa Hillsborough Expressway Authority crash/incident avoidance and expressway/arterial mobility I-80 Wyoming primary/secondary weather

related incident reduction with focus on freight New York urban arterial signalized intersection safety focus, crash reduction Steven J. Cyra, PE, PTOE CV-TIM Connection and Wheel of Opportunity A paradigm shift: crash survival to crash avoidance and incident prevention Applications to enhance incident response and promote safe,

quick clearance Steven J. Cyra, PE, PTOE SAFETY RESPONSE DATA MOBILITY Data for enhanced decision support and incident prediction Enhancing

awareness of incidents and maximizing mobility around/through incident scenes Safety V2I-TIM Applications (incident prevention) Curve Speed Warning (CSW) alerts provided to the vehicle/driver approaching a curve at an unsafe speed Spot Weather Impact Warning (SWIW) - warnings of hazardous weather conditions relayed from management center and other weather prediction sources to roadside equipment, which are then re-broadcasted to impacted vehicles

Reduced Speed/Work Zone Warning (RSWZ) - utilizes roadside equipment to broadcast alerts to drivers warning them to reduce speed, change lanes, or come to a stop within work zones Steven J. Cyra, PE, PTOE Safety V2V-TIM Applications (incident prevention) continued Emergency Electronic Brake Lights (EEBL) drivers are alerted to hard braking downstream traffic giving them heightened awareness of situations developing ahead Forward Collision Warning (FCW) alerts of a direct and imminent threat ahead are presented to the driver in order to help avoid or mitigate the severity of rear-end crashes Blind Spot/Lane Change Warning (BSW/LCW) drivers are alerted

of the presence of same-direction traffic in an adjacent lane to help avoid unsafe lane change crashes Do Not Pass Warning (DNPW) - alerts are given to drivers to help avoid a head-on crash resulting from passing maneuvers Steven J. Cyra, PE, PTOE Data CV-TIM Applications Vehicles as data collectors and communicators Big data: Volume, Variety, Velocity, Veracity Context-aware decision making for response resource allocation, on-scene TIM actions

Enhanced, real-time weather data integration Ability to learn from historical incidents to tailor real-time actions Data integration and analytics for predicting when, where, and under what conditions incidents are most likely to occur Robust, real-time performance measurement, reinforcing the TIM business case and substantiating ongoing programs and

investment Steven J. Cyra, PE, PTOE Data CV-TIM Applications Heads-up of important emerging research National Cooperative Highway Research Program Project 17-75 Leveraging Big Data to Improve Traffic Incident Management Research objective: develop guidelines for TIM agencies that illuminate the concepts, opportunities, data sources, challenges, and options associated with the practical use and application of big data to advance TIM state-of-the-practice. Steven J. Cyra, PE, PTOE Mobility CV-TIM Applications Significantly enhancing motorists awareness of incidents and maximizing mobility around/through incident scenes

Motorist Advisories and Warnings (MAW) - data from downstream vehicles provide information/warnings to upstream motorists Intelligent Traffic Signal System (I-SIG) - An overarching system optimization application accommodating signal priority, preemption and pedestrian movements Dynamic Speed Harmonization (SPD-HARM) - recommends target speeds in response to congestion, incidents, and road conditions to maximize throughput and reduce crashes Queue Warning (Q-WARN) provides drivers with timely warnings of existing and impending queues from incidents and work zones Steven J. Cyra, PE, PTOE Response, Emergency Staging, Communications, Uniform Management and Evacuation (R.E.S.C.U.M.E) Applications Enhancing safe, quick incident clearance.

Emergency Vehicle Preemption (PREEMPT) Preempts traffic signal operations to facilitate mobility of emergency vehicles Incident Scene Pre-Arrival Staging Guidance for Emergency Responders (RESP-STG) provides input to responder vehicle routing, staging and secondary dispatch decisions Incident Scene Work Zone Alerts for Drivers and Workers (INC-ZONE) warns on-scene responders/workers of vehicles with trajectories or speeds that pose a high risk to their safety. It also warns drivers passing an incident zone if they need to slow down, stop, or change lanes. Emergency Communications and Evacuation (EVAC) - addresses needs of evacuees with and without special needs or their own transportation Steven J. Cyra, PE, PTOE Integrating CV and TIM: Phase 1 Immediate/Short-Term (now-2020) Engagement of emergency responders Needs identification

CV development Promotion of whats possible Take advantage of ongoing TIM responder and manager training Stay current in CV continued research, apply CV pilot lessons learned Steven J. Cyra, PE, PTOE Integrating CV and TIM: Phase 2 Medium-Term (2020-2025) Migrate concepts to prototypes and in-field testing Embrace CV big data and use for meaningful TIM performance measurement Include emergency responders in addressing CV institutional issues and setting policy Recognize emergency responders are practical problem solvers and need proof of how CV technology can

benefit themwhats in it for me? Steven J. Cyra, PE, PTOE Integrating CV and TIM: Phase 3 Long-Term (2025+) Ensure that back-end data analytics consider needs of emergency responders in improving situational awareness and decision support Reliance on CV/data likely to require more aggressive maintenance of CV infrastructure Continued training on the use of CV as an incident response tool Steven J. Cyra, PE, PTOE Conclusion CV TIM Connection

SAFETY DATA There is strong potential for CV technology to dramatically and positively impact traffic incident management Recognize the important role of TIM/emergency responders play in transportation operationsnot likely to diminish in the future The success of CV for TIM is dependent upon engaging emergency responders now RESPONSE MOBILITY

Wheel of Opportunity Steven J. Cyra, PE, PTOE Ongoing TIM responder training is an opportunity to promote and enhance awareness of potential Continue and expand CV pilot deployments and use evaluation results to fine-tune technology and applications QUESTIONS? THANK YOU FOR YOUR INTEREST ! Steven J. Cyra, PE, PTOE HNTB Fellow, Associate Vice President Traffic Operations/ITS HNTB Corporation 11414 W. Park Place, Suite 300 Milwaukee, Wisconsin 5 3224

[email protected] (414) 410-6710

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