Driver Assisting by Inverse Time to Collision

Balaş, Valentina E.; Bălaş, Marius M.

doi:10.1109/wac.2006.376059

Cited by 53 publications

(24 citation statements)

References 2 publications

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“…• Inverse time to collision (TTCi)-the ratio of relative speed and relative intervehicle spacing. It is proportionally related to collision risk [34]. We record TTCi at the time instants corresponding to the following events: throttle is activated when the relative speed is positive (the relative distance is increasing); throttle is released when the relative speed is negative; brake is activated when the relative speed is negative; and brake is released when the relative speed is positive.…”

Section: B Probability Distributions Of Dynamic Characteristics and mentioning

confidence: 99%

Driver/Vehicle Response Diagnostic System for the Vehicle-Following Case

Butakov

Ioannou

2014

IEEE Trans. Intell. Transport. Syst.

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It is well known that not all drivers drive the same and that the same driver has different driving characteristics with different vehicles. Identifying the characteristics that are unique to each driver/vehicle response opens the way for more personalized and accurate driver assistance systems. In this paper, we consider the problem of identifying the driver/vehicle characteristics by processing real-time driving response data. We propose the use of a Gaussian mixture model combined with the knowledge of dynamic characteristics modeled as probability distributions together with additional logic and appropriate thresholds in order to implement a real-time driver/vehicle response diagnostics system. We focus our efforts on the vehicle-following part of driving. The system is tested on a customized vehicle using different drivers under different driving conditions. We demonstrated that the system can distinguish between different drivers and can classify driver aggressiveness during vehicle following.

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Section: B Probability Distributions Of Dynamic Characteristics and mentioning

confidence: 99%

Driver/Vehicle Response Diagnostic System for the Vehicle-Following Case

Butakov

Ioannou

2014

IEEE Trans. Intell. Transport. Syst.

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“…We will consider a car following group Car 1 and Car 2 that is following Car 1, and we will focus on the distance gap between them d. The optimization of d can be obtained with a PD planned fuzzy-interpolative distance controller [5], [9] having as input variables the distance-gap error £ = di -d between the imposed and the realized distance between the cars, and its derivate . The output variable is the force F, positive for traction and negative for braking.…”

Section: B Constant Time To Collision Planning For Following Carsmentioning

confidence: 99%

“…The method can be applied by computer simulations, using a Simulink-Matlab model of the tandem Carl-Car2, used as well in other previous papers [9], etc. Accurate knowledge about the specific behavior and the parameters of each specific car (traction, brakes, weight, aerodynamic coefficient, etc.)…”

Section: B Constant Time To Collision Planning For Following Carsmentioning

confidence: 99%

World Knowledge for Control Applications

Bălaş

Balaş

2007

Intelligent Engineering Systems, 2007 International Conference On

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“…Some research efforts have compared TTC with other safety measures, such as the inverse time to collision (Balas and Balas, 2006) and headway (Vogel, 2003). Vogel (2003) indicated that a suggested TTC threshold in the literature ranges from 1.5 to 5 seconds, and TTC larger than 6 s was not considered to be dangerous (Vogel, 2003).…”

Section: Introductionmentioning

confidence: 99%