scholarly journals Effects of lead time of verbal collision warning messages on driving behavior in connected vehicle settings

2016 ◽  
Vol 58 ◽  
pp. 89-98 ◽  
Author(s):  
Jingyan Wan ◽  
Changxu Wu ◽  
Yiqi Zhang
Keyword(s):  
Lead Time ◽  
Driving Behavior ◽  
Connected Vehicle ◽  
Collision Warning ◽  
Warning Messages

The Development of Parameters and Warning Algorithms for an Intersection Bus-Pedestrian Collision Warning System

2013 ◽  
pp. 163-182
Author(s):  
Chien-Yen Chang ◽  
Ting-Wei Chang
Keyword(s):  
Green Light ◽  
Warning System ◽  
Driving Behavior ◽  
Experimental Results ◽  
Parameter Analysis ◽  
Bus Drivers ◽  
Collision Warning ◽  
Warning Messages ◽  
Unsignalized Intersections ◽  
Basic Parameters

This study presents the conceptual design of an intersection bus-pedestrian collision warning system for bus drivers approaching an intersection. The basic parameters of the proposed design concept include the bus drivers’ perception-reaction time, the emergency deceleration rate of the bus, and pedestrian walking speed. A bus driving simulation was designed and conducted to analyze bus drivers’ responses to unexpected pedestrians crossing unsignalized intersections or signalized intersections during a green light interval for parameter analysis. The timings of auditory warnings and visual warnings, the locations for vehicle detectors and pedestrian detectors, and the locations for visual warning devices were also developed after analyzing the experimental results. The experimental results also highlight some important characteristics of bus driving behavior at intersections. Moreover, bus drivers really pay attention to the warning messages. Finally, this study develops and discusses some warning algorithms.

scholarly journals Driver Characteristics Oriented Autonomous Longitudinal Driving System in Car-Following Situation

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6376
Author(s):  
Haksu Kim ◽  
Kyunghan Min ◽  
Myoungho Sunwoo
Keyword(s):  
Driving Behavior ◽  
Cruise Control ◽  
Driver Assistance ◽  
Collision Warning ◽  
Driving System ◽  
Traffic Jam ◽  
Car Following ◽  
Preceding Vehicle ◽  
Planning Algorithm ◽  
Control Traffic

Advanced driver assistance system such as adaptive cruise control, traffic jam assistance, and collision warning has been developed to reduce the driving burden and increase driving comfort in the car-following situation. These systems provide automated longitudinal driving to ensure safety and driving performance to satisfy unspecified individuals. However, drivers can feel a sense of heterogeneity when autonomous longitudinal control is performed by a general speed planning algorithm. In order to solve heterogeneity, a speed planning algorithm that reflects individual driving behavior is required to guarantee harmony with the intention of the driver. In this paper, we proposed a personalized longitudinal driving system in a car-following situation, which mimics personal driving behavior. The system is structured by a multi-layer framework composed of a speed planner and driver parameter manager. The speed planner generates an optimal speed profile by parametric cost function and constraints that imply driver characteristics. Furthermore, driver parameters are determined by the driver parameter manager according to individual driving behavior based on real driving data. The proposed algorithm was validated through driving simulation. The results show that the proposed algorithm mimics the driving style of an actual driver while maintaining safety against collisions with the preceding vehicle.

Adaptive forward vehicle collision warning based on driving behavior

2020 ◽  
Vol 408 ◽  
pp. 64-71 ◽  
Author(s):  
Yuan Yuan ◽  
Yuwei Lu ◽  
Qi Wang
Keyword(s):  
Driving Behavior ◽  
Collision Warning ◽  
Vehicle Collision

scholarly journals Discrimination of Effects between Directional and Nondirectional Information of Auditory Warning on Driving Behavior

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Yuting Zhang ◽  
Xuedong Yan ◽  
Zhuo Yang
Keyword(s):  
Reference Group ◽  
Red Light ◽  
Warning System ◽  
Driving Behavior ◽  
Signalized Intersections ◽  
Directional Information ◽  
Red Light Running ◽  
Collision Warning ◽  
The Relationship ◽  
Auditory Warning

This study examines the impacts of directional and nondirectional auditory warning information in a collision warning system (CWS) on driving behavior. The data on driving behavior is collected through experiment, with scenarios containing unexpected hazard events that include different warning content. As drivers approached the collision event, either a CWS auditory warning was given or no warning was given for a reference group. Discriminant analysis was used to investigate the relationship between directional auditory warning information and driving behavior. In the experiment, the CWS warnings significantly reduced brake reaction time and prompted drivers to press the brake pedal more heavily, demonstrating the effectiveness of CWS warnings in alerting drivers to avoid red-light running (RLR) vehicles when approaching a signalized intersection. Providing a clear warning with directional information about an urgent hazard event could give drivers adequate time to prepare for the potential collision. In terms of deceleration, a directional information warning was shown to greatly help drivers react to critical events at signalized intersections with more moderate braking. From these results, requirements can be derived for the design of effective warning strategies for critical intersections.

scholarly journals Warning of Potential Collision for Vehicles

2015 ◽  
Vol 9 (1) ◽  
pp. 806-811
Author(s):  
Huang Yue ◽  
Qin Gui He ◽  
Liu Tong ◽  
Sun Ning ◽  
Wang Xiao Dan
Keyword(s):  
Short Range ◽  
Occurrence Rate ◽  
Collision Warning ◽  
Moving Vehicle ◽  
Warning Messages ◽  
Long Period ◽  
The Past ◽  
Straight Line ◽  
Short Period ◽  
Short Time

A moving vehicle may very likely run into accidents. The occurrence rate of accidents would be largely reduced if the driver is warned in advance, even only 0.5 s earlier. For a running vehicle, the driving route within short time before collision has the characteristic of Markov. In this case, the coordinates of position only have to be considered within a short range, rather than the running status during the past long period. Within short period before collision, the driving route can be basically divided into two states: a straight line and a binomial curve. In this paper, a mechanism is proposed for sending collision warning messages to running vehicles.

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