Choudhary et al., 2020 - Google Patents
Impact of distraction on decision making at the onset of yellow signalChoudhary et al., 2020
- Document ID
- 5701513386881328687
- Author
- Choudhary P
- Velaga N
- Publication year
- Publication venue
- Transportation research part C: emerging technologies
External Links
Snippet
The current study shows the impact of distraction in designing the intelligent in-vehicle systems for assisting the drivers to make stop/cross decision at the onset of yellow signal. In total, 83 participants drove through a simulated urban scenario with six signalised …
- 230000004634 feeding behavior 0 abstract description 191
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/16—Control of vehicles or other craft
- G09B19/167—Control of land vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ali et al. | The impact of the connected environment on driving behavior and safety: A driving simulator study | |
Zhao et al. | Effects of connected vehicle-based variable speed limit under different foggy conditions based on simulated driving | |
Lin et al. | An interview study exploring Tesla drivers' behavioural adaptation | |
Saifuzzaman et al. | Revisiting the Task–Capability Interface model for incorporating human factors into car-following models | |
Liu et al. | Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment | |
Hu et al. | Decision Tree‐Based Maneuver Prediction for Driver Rear‐End Risk‐Avoidance Behaviors in Cut‐In Scenarios | |
Choudhary et al. | Impact of distraction on decision making at the onset of yellow signal | |
Choudhary et al. | Driver behaviour at the onset of yellow signal: a comparative study of distraction caused by use of a phone and a music player | |
Choudhary et al. | A comparative analysis of risk associated with eating, drinking and texting during driving at unsignalised intersections | |
Yang et al. | Connected vehicle real-time traveler information messages for freeway speed harmonization under adverse weather conditions: Trajectory level analysis using driving simulator | |
Lee et al. | Stress induction techniques in a driving simulator and reactions from newly licensed drivers | |
Favarò et al. | Quality of control takeover following disengagements in semi-automated vehicles | |
Shi et al. | Impacts of differentiated per-lane speed limit on lane changing behaviour: A driving simulator-based study | |
Regan et al. | Driver distraction: mechanisms, evidence, prevention, and mitigation | |
Pawar et al. | Investigating the influence of time pressure on overtaking maneuvers and crash risk | |
Habtemichael et al. | The impact of high-risk drivers and benefits of limiting their driving degree of freedom | |
Duan et al. | Analysis of driver’s decision distance and merging distance in work zone area based on parametric survival models: with the aid of a driving simulator experiment | |
Zhao et al. | Effectiveness and acceptance of the intelligent speeding prediction system (ISPS) | |
Demir et al. | A new driver behavior model to create realistic urban traffic environment | |
de Zwart et al. | Driver behavioural adaptations to simulated automated vehicles, potential implications for traffic microsimulation | |
Lanzer et al. | Intelligent mobility in the city: the influence of system and context factors on drivers’ takeover willingness and trust in automated vehicles | |
Zhang et al. | A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles | |
Pagomenos et al. | Predicting young drivers’ safe behaviour of stopping in the dilemma zone | |
Mohammed et al. | Influence of following vehicle’s tailway and classification on subject driver’s response to the circular yellow indication | |
Doulabi et al. | Improving road safety at horizontal curves using V2I speed warning messages |