Mohammed et al., 2021 - Google Patents
Influence of following vehicle's tailway and classification on subject driver's response to the circular yellow indicationMohammed et al., 2021
View PDF- Document ID
- 10829486865676454439
- Author
- Mohammed H
- Hurwitz D
- Noyce D
- Wang X
- Publication year
- Publication venue
- Transportation research part F: traffic psychology and behaviour
External Links
Snippet
Traffic crashes at signalized intersections are frequently linked to driver behavior at the onset of the circular yellow (CY) indication. To better understand behavioral factors that influence a driver's decision to stop or go at an intersection, this study analyzed the behavior …
- 230000004044 response 0 title abstract description 32
Classifications
-
- 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
- G08G1/09—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
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- 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
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/042—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
-
- 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 |
---|---|---|
Ma et al. | Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles | |
Rad et al. | The impact of a dedicated lane for connected and automated vehicles on the behaviour of drivers of manual vehicles | |
Schoenmakers et al. | Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands | |
Ali et al. | Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment | |
Farah et al. | Risk evaluation by modeling of passing behavior on two-lane rural highways | |
Shangguan et al. | Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis | |
Hussain et al. | Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study | |
Tey et al. | Modelling driver behaviour towards innovative warning devices at railway level crossings | |
Ali et al. | A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment | |
Islam et al. | Safer driver responses at intersections with green signal countdown timers | |
Hang et al. | Exploring the effects of the location of the lane-end sign and traffic volume on multistage lane-changing behaviors in work zone areas: A driving simulator-based study | |
Bakhshi et al. | The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers’ situational awareness: A driving simulator experiment | |
Yang et al. | Connected vehicle real-time traveler information messages for freeway speed harmonization under adverse weather conditions: Trajectory level analysis using driving simulator | |
Pawar et al. | Response of major road drivers to aggressive maneuvering of the minor road drivers at unsignalized intersections: A driving simulator study | |
Choudhary et al. | A comparative analysis of risk associated with eating, drinking and texting during driving at unsignalised intersections | |
Hussain et al. | Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks? | |
Lee et al. | Stress induction techniques in a driving simulator and reactions from newly licensed drivers | |
Islam et al. | Improved driver responses at intersections with red signal countdown timers | |
Kang et al. | Assessment of driver compliance on roadside safety signs with auditory warning sounds generated from pavement surface–a driving simulator study | |
Deliali et al. | The role of protected intersections in improving bicycle safety and driver right-turning behavior | |
Varotto et al. | Driver speed compliance following automatic incident detection: Insights from a naturalistic driving study | |
de Zwart et al. | Driver behavioural adaptations to simulated automated vehicles, potential implications for traffic microsimulation | |
Reinolsmann et al. | Investigating the impact of a novel active gap metering signalization strategy on driver behavior at highway merging sections | |
Xu et al. | Research on the relationship between dynamic message sign control strategies and driving safety in freeway work zones | |
Angioi et al. | The implications of situation and route familiarity for driver-pedestrian interaction at uncontrolled mid-block crosswalks |