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IAP Project: Concept to Countermeasure- Research to Deployment Using the 2nd Strategic Highway Research Program (SHRP2) Naturalistic Driving Study (NDS) Data: Adverse Weather and Speeding

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DataCite Commons2020-08-19 更新2024-07-13 收录
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https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/OKDEFU
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资源简介:
This research study was sponsored by Federal Highway Administration Implementation Assistance Program with funds flowing through the Wyoming Department of Transportation. This study proposed to enhance the understanding of how drivers respond to adverse weather and road conditions (e.g. speed adaptation, lane maintenance, car following, etc.). Phase 1 focused only on driver response in rain/ heavy rain in the States of Florida and Washington. The dataset delivered consisted of a 150 Naturalistic Driving Study (NDS) trips from these two States. A subset of these trips (N=50) will occur during rain/ heavy rain on freeway segments with the remaining trips (N=100) occurring in clear weather conditions on the same segments and preferably for the same subjects. Time-series data and corresponding front/rear-view camera trip views (de-identified) were provide for over 150 events. In particular, any instrumented vehicles with the available wiper signal variables were used to determine the presence or absence of rain. Any instance where wiper activation occurs for over 10% of the segment will be considered a “rain” instance. Any instance where wiper activation is not present will be considered a “clear” instance. The time series data included: vehicle trajectory data (e.g. latitude, longitude, speed, acceleration, and velocity), vehicle control data (e.g. wiper, light level, ABS, traction control, state, pedal gas position, pedal brake state, steering wheel position), vehicle lane position data (e.g. lane markers distances), and raw radar data.
提供机构:
Virginia Tech Transportation Institute
创建时间:
2015-12-04
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