Search results for "Car following"

showing 4 items of 4 documents

Effects of Adjacent Vehicles on Judgments of a Lead Car During Car Following.

2016

Objective: Two experiments were conducted to determine whether detection of the onset of a lead car’s deceleration and judgments of its time to contact (TTC) were affected by the presence of vehicles in lanes adjacent to the lead car. Background: In a previous study, TTC judgments of an approaching object by a stationary observer were influenced by an adjacent task-irrelevant approaching object. The implication is that vehicles in lanes adjacent to a lead car could influence a driver’s ability to detect the lead car’s deceleration and to make judgments of its TTC. Method: Displays simulated car-following scenes in which two vehicles in adjacent lanes were either present or absent. Participa…

AdultEngineeringAutomobile DrivingInjury controlAccident preventionDecelerationMotion PerceptionTime to contactPoison controlHuman Factors and ErgonomicsRear-end collisionCar following050105 experimental psychologyBehavioral NeuroscienceJudgmentTime to collisionHumans0501 psychology and cognitive sciences050107 human factorsApplied PsychologySimulationbusiness.industry05 social sciencesTraffic simulationbusinessPsychomotor PerformanceHuman factors
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Effects of Task-Irrelevant Cars on Judgments of Deceleration and Time-to-Contact During Car-Following

2012

Rear-end collisions represent over 25% of crashes with other moving vehicles (NHTSA, 2005). Factors that potentially contribute to such accidents include a driver’s ability to respond to a lead car’s deceleration and to estimate how much time remains until a collision would occur (DeLucia & Tharanathan, 2009). Prior research (Oberfeld & Hecht, 2008) showed that time-to-contact (TTC) judgments of approaching objects were influenced by task-irrelevant distractor objects. This finding has implications for rear-end collisions when drivers must detect a lead car’s deceleration amidst surrounding cars. However, Oberfeld and Hecht simulated a stationary observer rather than a moving obser…

EngineeringInjury controlAccident preventionbusiness.industryTime to contactPoison controlCollisionCar followingTask (project management)Medical TerminologySelf motionbusinessSimulationMedical Assisting and TranscriptionProceedings of the Human Factors and Ergonomics Society Annual Meeting
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Car following: Comparing distance-oriented vs. inertia-oriented driving techniques

2018

The rationale behind most car-following (CF) models is the possibility to appraise and formalize how drivers naturally follow each other. Characterizing and parametrizing Normative Driving Behavior (NDB) became major goals, especially during the last 25 years. Most CF models assumed driver propensity for constant, safe distance is axiomatic. This paper challenges the idea of safety distance as the main parameter defining a unique (or natural) NDB. Instead, it states drivers can adapt to reactive and proactive car following. Drawing on recent CF models close to the Nagoya paradigm and on other phenomena (e.g., wave movement in Nature), we conceived car following by Driving to keep Inertia (D…

EngineeringInjury controlmedia_common.quotation_subjectDriving techniquesGeography Planning and DevelopmentPoison controlTransportationInertia01 natural sciencesCar following0502 economics and business0103 physical sciences010306 general physicsSimulationAxiommedia_common050210 logistics & transportationCar-following modelsbusiness.industry05 social sciencesDriver behaviorDriving simulatorPsychological paradigmsTRIPS architecturebusinessConstant (mathematics)
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Nonlocal Second Order Vehicular Traffic Flow Models And Lagrange-Remap Finite Volumes

2011

In this paper a second order vehicular macroscopic model is derived from a microscopic car–following type model and it is analyzed. The source term includes nonlocal anticipation terms. A Finite Volume Lagrange–remap scheme is proposed.

Vehicular traffic flow modeling car–following Lagrange–remap microscopic - macroscopic finite volumesMicroscopic traffic flow modelHardware_MEMORYSTRUCTURESFinite volume methodComputingMethodologies_SIMULATIONANDMODELINGComputer scienceMacroscopic modelApplied mathematicsOrder (group theory)Statistical physicsType (model theory)Car followingTerm (time)
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