Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study

Chen, Rong; Kusano, Kristofer D.; Gabler, Hampton C.

doi:10.1080/15389588.2015.1057281

Cited by 42 publications

(27 citation statements)

References 7 publications

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“…These studies have been used to design a driver assistance system for an overtake maneuver on a highway [6]. Algorithms have been developed that would aid in improving the overall effectiveness of forward collision warning (FCW) systems by providing active safety system designers with further understanding of driver action in overtaking maneuvers [7]. These works have also The work presented here draws inspiration from these works to build a functional architecture that can be used to evaluate the various solutions used to aid the car passing maneuver.…”

Section: Relevant Workmentioning

confidence: 99%

“…Constraints (4 Under these constraints and conditions, controller uses the objective stated in (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16) to determine the optimal reference trajectory at T4. There may be no solutions, one solution or multiple solutions.…”

Section: Controllermentioning

confidence: 99%

“…At T5, the controller updates the reference trajectory. Constraints (4-4), (4)(5)(6)(7)(8) to (4-9) and (4-15) are used to determine the feasible reference trajectory solutions. The reference trajectory at T5 refers to the time spent by the car 1 in remaining phase of the trajectory -dT6 and the acceleration of car 1 in phase 6 (a16) of the passing maneuver.…”

Section: Controllermentioning

confidence: 99%

“…For predicting trajectories of cars 2 and 3, car 1 uses measured position and velocity of both cars at T5 to predict their future trajectories with the assumption that a2 & a3 is 0m/s 2 and that they keep moving in straight line. Under these constraints and conditions, controller uses the objective stated in (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) to determine the optimal reference trajectory at T5. The objective stated in (4-16) cannot be used to find the optimal reference trajectory as car 1 does not interact with car 3 after T5.…”

Section: Controllermentioning

confidence: 99%

“…2), (4-3.1), (4-4), (4-7.1) and(4)(5)(6)(7)(8) to(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15) are used to determine the feasibility of the passing maneuver by checking for feasible reference trajectory solutions. The reference trajectory at T1 refers to the time spent by the car 1 in remaining phases of the trajectory -dT2, dT3, dT4, dT5, dT6, orientation of car 1 at T2 (θ1) and the acceleration of car 1 in phase 2 (a12) and phase 4 (a14) of the passing maneuver.…”

mentioning

confidence: 99%

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Model-Based Systems Engineering Applied to the Trajectory Planning for Autonomous Vehicles

Bansal

Alimardani

Baras

2018

2018 IEEE International Systems Engineering Symposium (ISSE)

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Passing maneuver is a complex driving maneuver and it becomes more challenging in oncoming traffic. In this study, a passing scenario with three vehicles is considered where car 1, an Autonomous Vehicle (AV), is moving behind car 2 in the same lane. The third vehicle is part of the oncoming traffic in the adjacent lane. The primary goal is to model and evaluate a measurement-based decision-making strategy for the AV satisfying driving safety constraints. This strategy is based on the optimal control with the objective to performing the passing maneuver safely. To evaluate the efficiency of the decision-making strategy-probability of safely completing passing maneuver, a model of the system was developed considering all three cars as point-masses. Two binary variables, each representing the collaborative nature of the cars 2 and 3, were defined. These variables show if the two vehicles will collaborate with the AV when they find out about its intention to overtake. Lastly, a sensitivity study and trade-off study are done to determine optimal design parameters for AV's measurement system and decision-making strategy.

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Section: Relevant Workmentioning

confidence: 99%