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Validating Prototype Connected Vehicle-to-Infrastructure Safety Applications in Real- World Settings
Technical Paper
2018-01-0025
ISSN: 0148-7191, e-ISSN: 2688-3627
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Abstract
This paper summarizes the validation of prototype vehicle-to-infrastructure (V2I) safety applications based on Dedicated Short Range Communications (DSRC) in the United States under a cooperative agreement between the Crash Avoidance Metrics Partners LLC (CAMP) and the Federal Highway Administration (FHWA). After consideration of a number of V2I safety applications, Red Light Violation Warning (RLVW), Curve Speed Warning (CSW) and Reduced Speed Zone Warning with Lane Closure Warning (RSZW/LC) were developed, validated and demonstrated using seven different vehicles (six passenger vehicles and one Class 8 truck) leveraging DSRC-based messages from a Road Side Unit (RSU). The developed V2I safety applications were validated for more than 20 distinct scenarios and over 100 test runs using both light- and heavy-duty vehicles over a period of seven months. Subsequently, additional on-road testing of CSW on public roads and RSZW/LC in live work zones were conducted in Southeast Michigan. Application performance analysis revealed that proper and accurate infrastructure maps are crucial for the desired functioning of the V2I safety applications.
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Authors
- Jayendra Parikh - CAMP LLC
- Aravind Kailas - Volvo Group
- Rawa Adla - Ford Motor Company
- Samer Rajab - Honda R&D Americas, Inc.
- Mahdi Ali - Hyundai Motor Company
- Vivek Vijaya Kumar - General Motors LLC
- Jan-Niklas Meier - Volkswagen AG
- Masafumi Sakakida - Mazda North American Operations
- Roy Goudy - Nissan Technical Center
- Hiroyuki Yoshida - Mazda North American Operations
- Richard Deering - RK Deering & Associates
- Richard Williams - Subaru Research & Development Inc.
Topic
Citation
Parikh, J., Kailas, A., Adla, R., Rajab, S. et al., "Validating Prototype Connected Vehicle-to-Infrastructure Safety Applications in Real- World Settings," SAE Technical Paper 2018-01-0025, 2018, https://doi.org/10.4271/2018-01-0025.Data Sets - Support Documents
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References
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