This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Identification of Traffic States From Onboard Vehicle Sensors
Technical Paper
2003-01-0535
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper describes an algorithm that identifies the state of traffic ahead of a moving vehicle using onboard sensors. This algorithm approximates the level of service as defined in the Highway Capacity Manual, which portrays a range of traffic conditions on a particular type of roadway facility. The traffic state forms an independent variable in an evaluation plan to assess the benefits and capability of an automotive rear-end crash avoidance system in a field operational test. The algorithm utilizes inputs from vehicle sensors, onboard radar, global positioning system, and digital map to classify the traffic ahead into light, medium, and heavy states. Basically, the algorithm segregates the roadway into four different categories based on the road type (freeway or non-freeway), posted speed limit, and traffic flow conditions. In addition, the algorithm computes two key parameters: (1) number of vehicles in the radar field of view that are moving in the same direction as the test vehicle, and (2) speed ratio between the vehicle travel speed and the posted speed limit. A logical process that ties these two parameters to each of the four roadway categories then determines the traffic state. The conditions of the logical process were optimized by minimizing the error between the calculated and observed traffic states using samples of video and numerical data collected from an instrumented vehicle on public roads.
Recommended Content
Authors
Topic
Citation
Koopmann, J. and Najm, W., "Identification of Traffic States From Onboard Vehicle Sensors," SAE Technical Paper 2003-01-0535, 2003, https://doi.org/10.4271/2003-01-0535.Also In
SAE 2003 Transactions Journal of Passenger Cars - Electronic and Electrical Systems
Number: V112-7; Published: 2004-09-15
Number: V112-7; Published: 2004-09-15
References
- 1 Najm, W.G. Stearns, M.D. Boyle, L. Ng. Detailed Plan for an Independent Evaluation of the Automotive Collision Avoidance System Field Operational Test Project Memorandum, DOT-VNTSC-HS116-PM-01-09 March 2001
- Highway Capacity Manual Transportation Research Board 2000
- Secunda, S. Calibration of the GPS/GIS Location Algorithm Based on GM's ACAS Prototype Vehicle Verification Test Data Technical Information Exchange, HS216 February 25 2002
- Najm, W.G. Koopmann, J. Boyle, L. Ng Smith, D. L. Development Of Test Scenarios For Off-Roadway Crash Countermeasures Based On Crash Statistics Final Report, DOT-VNTSC-NHTSA-01-02, DOT HS 809 505 September 2002