Identification of Driving Riskiness in the Car-Following Situations Applying Spectral Analysis
Autonomous vehicles are expected to be released in the automobile market by 2020. Accordingly, the increasing effect for both road safety and efficiency is also expected. However, the effects are fully proven when no other vehicles, but autonomous vehicles, are on roads. Until then, the roads will be inevitably shared by human driving vehicles and autonomous vehicles. In this situation the driving behavior of the surrounding vehicles must be identified to facilitate safe driving of autonomous vehicles. For this reason, a methodology that can evaluate the driving riskiness from the relative speed of car-following was developed. The relative speed in car-following is shown in wave forms when observed for a certain period of time. These waveforms can be decomposed into harmonics, which are subordinate waves, by performing a spectral analysis using Fourier transform. The components showing the riskiness of following vehicles among these harmonics were derived through a correlation analysis with adjusted time-to-collision (TTC). Consequently, the power spectrum density ratio with a frequency band of over 0.017 Hz was analyzed to have a high correlation with riskiness, and was defined as the risk propensity index. Using the index, autonomous vehicles can analyze the riskiness of the surrounding vehicles. Hence, the selection of safe car-following speed and acceleration is considered, and the gap choice for lane change is possible.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
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Corporate Authors:
500 Fifth Street, NW
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Authors:
- Chae, Chandle
- Oh, Sei-Chang
- Kim, Youngho
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 13p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Behavior; Car following; Drivers; Evaluation; High risk drivers; Intelligent vehicles; Methodology; Operating speed; Risk analysis; Spectrum analysis; Traffic safety
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01624260
- Record Type: Publication
- Report/Paper Numbers: 17-01492
- Files: TRIS, TRB, ATRI
- Created Date: Jan 27 2017 9:28AM