Grants and Contributions:

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Title:

Development of In-Vehicle Collision Warning System for Two-Lane Highways Considering Driver Characteristics

Agreement Number:

EGP

Agreement Value:

$25,000.00

Agreement Date:

Feb 7, 2018 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Ontario, CA

Reference Number:

GC-2017-Q4-00526

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Easa, Said (Ryerson University)

Program:

Engage Grants for universities

Program Purpose:

Collision Warning Systems (CWS) serve to prevent collisions by measuring the distance to the closestx000D
opposing vehicle (on a two-lane highway) and estimating its speed to advice drivers when it is safe to overtakex000D
a slow moving vehicle. The proposed project will further develop an a CWS recently developed in a PhD studyx000D
by the applicants. The project involves three stages: (1) further development of vehicle dynamics and driverx000D
simulation modules; (2) development of sensing strategy and CWS algorithm; and (3) testing of the completex000D
virtual system prototype using simulation. The first stage of the project involves the use of the Simulinkx000D
environment based on the authors' dynamic models for articulated vehicles and SUVs. To automatically controlx000D
the traction and braking properties in the model, the propulsion and brake subsystems will be added to thex000D
original models. A vehicle handling model will be developed, including the ADAS options for obstaclex000D
detection with sensors. The driver model will include steering control, traction/braking control, decisionx000D
making, and perception/reaction models. The second stage of the project involves a comparison between thex000D
time needed for the completion of the overtaking maneuver and the predicted time to collision. Unlike thex000D
standard approaches, we propose the use of the vehicle's technical parameters instead of statistical timex000D
estimates. This is proposed due to the significant influence of individual design features and externalx000D
conditions on the overtaking indices. The integrated ADAS system will use three-level scanning via radar,x000D
camera, and ultrasonic sensors. This will be executed in the State-flow environment. The third stage of thex000D
project involves virtual tests using the device prototype. The main objective is to detect vehicles, roads andx000D
lanes and to adjust the algorithm to predict the necessary overtaking time with appropriate tolerance.