by Melisa D. Finley, P.E. Transportation Short Course October 11, 2017

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1 by Melisa D. Finley, P.E. Transportation Short Course October 11, 2017

2 Acknowledgements Texas Department of Transportation (TxDOT) Project Project (Phase I) Project (Phase II) Southwest Research Institute (SwRI) Texas A&M Transportation Institute (TTI)

3 Project Findings Variety of countermeasures and mitigation methods needed to combat wrong-way driving (WWD) Low-cost traffic control devices are effective Some WW drivers will still enter freeway Need capability to detect, monitor, and warn Limitations with current capabilities Connected vehicles (CVs) provide a new approach

4 Project Phase I Overview Reviewed state of the practice Identified user needs Assessed motorist understanding of wrong-way driver alerts posted on dynamic message signs (DMS) Determined preliminary ways to connect with law enforcement Developed concept of operations, functional requirements, and high-level design for system

5 Key CV System Features Reduce the time from detection to alerting the right way drivers and law enforcement Ability to provide warning message in-vehicle in addition to broadcasting to DMS

6 How Do CVs Work? Dedicated short range communication (DSRC) Roadside unit (RSU) Onboard unit (OBU) Basic safety message (BSM) Position Direction Speed Roadside alerts (RSA) Map message

7 Project Phase II Objectives Build and test an offline test bed system Identify information needs for right-way drivers relative to in-vehicle messages

8 Phase II Primary Objective TEST BED SYSTEM

9 Software Configurations WWD event management within TMC region Integrated with demonstration Lonestar version All components communicate through TMC WWD event management outside TMC region Self contained application Field computer does processing and message generation

10 Lonestar Configuration

11 Lonestar Software Already interacted with traditional detection system and DMS Created two new subsystems for CV applications WW monitor CV subsystem User interface RSU status WW vehicle

12 Test Bed Scenarios CV-enabled WW vehicle detected by RSU

13 Test Bed Scenarios CV-enabled WW vehicle detected by RSU Propagation of messages between CV-enabled vehicles

14 Test Bed Scenarios CV-enabled WW vehicle detected by RSU Propagation of messages between CV-enabled vehicles Non CV-enabled WW vehicle detected by traditional sensors

15 Wrong-Way Driver

16 Right-Way Driver

17 Law Enforcement

18 Self-Contained Configuration

19 US-75 at Royal Lane E EXIT 7 A D H G Royal Ln F 7 Phase II Secondary Objective INFORMATION NEEDS 75 EXIT C B

20 Objective Structured Interviews Identify what information drivers would like to receive concerning a WWD event depending on where they are located relative to the WW vehicle Method Dallas/Fort Worth, Houston, and San Antonio 65 drivers total Individual guided interviews with visual aids

21 Information Needs Assessment Which right-way vehicles need information? What type of information is desired? Urgency Problem Location of WW vehicle Lanes affected Action Validation

22 Barrier: 52 % No Barrier: 86 % Result Highlights E Same side 94% wanted info for A, B, and D 60% wanted info for C Opposite side Depended on median type Cross street 94% wanted info for G Only 15% wanted info for H Cross Street 15 % H EXIT 7 Barrier: 37 % No Barrier: 60 % F A 94 % 7 EXIT 100 % D 60 % C 94 % G US B 100 %

23 3 Most Important Pieces of Information Urgency Problem Location of WW Vehicle

24 Objective Driver Surveys Sample larger group of drivers about specific message wording possible within CV RSA message set Method Same 3 cities 361 drivers total Tablet survey with graphics

25 Result Highlights Limited comprehension of phrases to convey another vehicle was traveling the wrong way VEHICLE TRAVELING THE WRONG WAY 56% WRONG WAY DRIVER 54% No clear preference for indicating location Distance (3 MILES AHEAD) 52% Time (3 MINUTES AHEAD) 48% DO NOT ENTER FREEWAY well understood

26 Contact Information Melisa D. Finley, P.E. TTI Research Engineer Reports