Drivers ’reaction time research in the conditions in the real traffic

Dróździel, Paweł; Tarkowski, Sławomir; Rybicka, Iwona; Wrona, Rafał

doi:10.1515/eng-2020-0004

Cited by 67 publications

(34 citation statements)

References 3 publications

(4 reference statements)

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“…The duration of the reaction time can be considered to be between approximately 0.75 and 1.50 s; in particular cases, it can be even greater [ 40 , 41 ]. In fact, from a general point of view, the duration of time

can be considered variable in relation to the following typical conditions: perception and reaction of Fast Reaction (FR) ,

s; perception and reaction of Normal Reaction (NR) ,

s; and perception and reaction of Slow Reaction (SR) ,

s. …”

Section: Critical Parameters Designmentioning

confidence: 99%

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Tropea

Rango

Nevigato³

et al. 2021

Sensors

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In this paper, some collision avoidance systems based on MEC in a VANET environment are proposed and investigated. Micro services at edge are considered to support service continuity in vehicle communication and advertising. This considered system makes use of cloud and edge computing, allowing to switch communication from edge to cloud server and vice versa when possible, trying to guarantee the required constraints and balancing the communication among the servers. Simulation results were used to evaluate the performance of three considered mechanisms: the first one considering only edge with load balancing, the second one using edge/cloud switching and the third one using edge with load balancing and collision avoidance advertising.

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can be considered variable in relation to the following typical conditions: perception and reaction of Fast Reaction (FR) ,

s; perception and reaction of Normal Reaction (NR) ,

s; and perception and reaction of Slow Reaction (SR) ,

s. …”

Section: Critical Parameters Designmentioning

confidence: 99%

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Tropea

Rango

Nevigato³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…This situation is similar to that experienced by humans. Some studies [34] show that human reaction times, measured as the sum of perception time and the time of leg transfer from the accelerator pedal to the brake pedal, range between 0.5 and 1.2 seconds. For the autonomous car, this means that the reactive control is making decisions about distances that have been taken in the past (sensing time delay "st") and the actions will start taking effect in the future (action time delay "at").…”

Section: B Accounting For the Observation-action Delaymentioning

confidence: 99%

Efficient Local Navigation Approach for Autonomous Driving Vehicles

et al. 2021

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This paper presents an efficient and practical approach for a car navigation system (CVM-Car) based on the velocity space optimization paradigm. The method calculates the velocity control commands to keep the car in the lane while avoiding the obstacles detected by the proximity sensors. The car has to follow a road path consisting of a sequence of lanelets. This approach is a lower-level reactive control that combines the pure pursuit method to obtain a reference curvature and a reactive control algorithm that keeps the vehicle in the center of the lane's free space while avoiding obstacles that can partially block it. CVM-Car formulates local obstacle avoidance as a constrained optimization problem in the velocity space of the car. In addition to the vehicle dynamics and obstacles constraints included by the curvature method, car-shape and non-holonomic restrictions are considered in the CVM-Car velocity space. The method has been applied to an autonomous vehicle prototype.

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“…In emergencies, driver needs to make the right decision in a fraction of a second, which is related to the reaction time. Such research was conducted, among others, by [15,19].…”

Section: Introductionmentioning

confidence: 99%

The impact of driving schools' training on fatal traffic accidents in the Slovak Republic

Hudec¹,

Šarkan²,

Caban³

et al. 2021

SJSUT.ST

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This paper deals with fatal traffic accidents in the period 2017-2019, caused by drivers who have held driving licenses for less than five years. Specifically, it examines an interconnection between these accidents and the driving schools being completed by these drivers. Furthermore, it analyses whether the perpetrators of traffic accidents with short driving experience are graduates of the same driving schools, and thus, whether the occurrence of serious traffic accidents is directly related to the quality of training in specific driving schools.

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Drivers ’reaction time research in the conditions in the real traffic

Cited by 67 publications

References 3 publications

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Efficient Local Navigation Approach for Autonomous Driving Vehicles

The impact of driving schools' training on fatal traffic accidents in the Slovak Republic

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