Reference number : GC-2017-Q4-00526, amendment number : , agreement type : G, recipient legal name : Easa, Said (Ryerson University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Collision Warning Systems (CWS) serve to prevent collisions by measuring the distance to the closest_x000D_
opposing vehicle (on a two-lane highway) and estimating its speed to advice drivers when it is safe to overtake_x000D_
a slow moving vehicle. The proposed project will further develop an a CWS recently developed in a PhD study_x000D_
by the applicants. The project involves three stages: (1) further development of vehicle dynamics and driver_x000D_
simulation modules; (2) development of sensing strategy and CWS algorithm; and (3) testing of the complete_x000D_
virtual system prototype using simulation. The first stage of the project involves the use of the Simulink_x000D_
environment based on the authors' dynamic models for articulated vehicles and SUVs. To automatically control_x000D_
the traction and braking properties in the model, the propulsion and brake subsystems will be added to the_x000D_
original models. A vehicle handling model will be developed, including the ADAS options for obstacle_x000D_
detection with sensors. The driver model will include steering control, traction/braking control, decision_x000D_
making, and perception/reaction models. The second stage of the project involves a comparison between the_x000D_
time needed for the completion of the overtaking maneuver and the predicted time to collision. Unlike the_x000D_
standard approaches, we propose the use of the vehicle's technical parameters instead of statistical time_x000D_
estimates. This is proposed due to the significant influence of individual design features and external_x000D_
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 the_x000D_
project involves virtual tests using the device prototype. The main objective is to detect vehicles, roads and_x000D_
lanes and to adjust the algorithm to predict the necessary overtaking time with appropriate tolerance., program purpose french : Collision Warning Systems (CWS) serve to prevent collisions by measuring the distance to the closest_x000D_
opposing vehicle (on a two-lane highway) and estimating its speed to advice drivers when it is safe to overtake_x000D_
a slow moving vehicle. The proposed project will further develop an a CWS recently developed in a PhD study_x000D_
by the applicants. The project involves three stages: (1) further development of vehicle dynamics and driver_x000D_
simulation modules; (2) development of sensing strategy and CWS algorithm; and (3) testing of the complete_x000D_
virtual system prototype using simulation. The first stage of the project involves the use of the Simulink_x000D_
environment based on the authors' dynamic models for articulated vehicles and SUVs. To automatically control_x000D_
the traction and braking properties in the model, the propulsion and brake subsystems will be added to the_x000D_
original models. A vehicle handling model will be developed, including the ADAS options for obstacle_x000D_
detection with sensors. The driver model will include steering control, traction/braking control, decision_x000D_
making, and perception/reaction models. The second stage of the project involves a comparison between the_x000D_
time needed for the completion of the overtaking maneuver and the predicted time to collision. Unlike the_x000D_
standard approaches, we propose the use of the vehicle's technical parameters instead of statistical time_x000D_
estimates. This is proposed due to the significant influence of individual design features and external_x000D_
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 the_x000D_
project involves virtual tests using the device prototype. The main objective is to detect vehicles, roads and_x000D_
lanes and to adjust the algorithm to predict the necessary overtaking time with appropriate tolerance., agreement title english : Development of In-Vehicle Collision Warning System for Two-Lane Highways Considering Driver Characteristics, agreement title french : Development of In-Vehicle Collision Warning System for Two-Lane Highways Considering Driver Characteristics, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada