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Rear-end collision

About: Rear-end collision is a research topic. Over the lifetime, 618 publications have been published within this topic receiving 5666 citations. The topic is also known as: shunt.


Papers
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Journal ArticleDOI
Ayumu Doi1, Tetsuro Butsuen1, Tadayuki Niibe1, Takeshi Takagi1, Yasunori Yamamoto1, Hirofumi Seni1 
TL;DR: In this paper, a rear-end collision avoidance system with automatic brake control is described, which avoids a collision to the vehicle in front caused by inadvertent human errors using automatic emergency braking.
Abstract: We have studied active safety technologies from the standpoint of “collision avoidance”. This paper describes a rear-end collision avoidance system with automatic brake control, which avoids a collision to the vehicle in front caused by inadvertent human errors using automatic emergency braking. The system is comprised of four key technological elements, headway distance measurement using scanning laser radar, path estimation algorithm with vehicle dynamics, collision prediction to the vehicle in front by a safe/danger decision algorithm, and longitudinal automatic brake control.

116 citations

Journal ArticleDOI
TL;DR: The aim of this paper was analyzing the driver's behavior in order to define effective driver assistance systems which can be readily accepted by the driver.

113 citations

Journal ArticleDOI
TL;DR: Comparisons made with experimental data demonstrate that a simple human performance model can capture important elements of system performance and complement expensive human-in-the-loop experiments.
Abstract: Collision warning systems offer a promising approach to mitigate rear-end collisions, but substantial uncertainty exists regarding the joint performance of the driver and the collision warning algorithms. A simple deterministic model of driver performance was used to examine kinematics-based and perceptual-based rear-end collision avoidance algorithms over a range of collision situations, algorithm parameters, and assumptions regarding driver performance. The results show that the assumptions concerning driver reaction times have important consequences for algorithm performance, with underestimates dramatically undermining the safety benefit of the warning. Additionally, under some circumstances, when drivers rely on the warning algorithms, larger headways can result in more severe collisions. This reflects the nonlinear interaction among the collision situation, the algorithm, and driver response that should not be attributed to the complexities of driver behavior but to the kinematics of the situation. Comparisons made with experimental data demonstrate that a simple human performance model can capture important elements of system performance and complement expensive human-in-the-loop experiments. Actual or potential applications of this research include selection of an appropriate algorithm, more accurate specification of algorithm parameters, and guidance for future experiments.

113 citations

Journal ArticleDOI
TL;DR: An approach to the avoidance of rear-end collisions in congested traffic situations is presented and two fuzzy controllers, a Collision Warning System (CWS) and aCollision Avoidance System (cAS), have been developed and tested with two mass-produced cars.
Abstract: Highlights? We have implemented a rear-end collision warning/avoidance system in a real car. ? The system decides how to perform the maneuver without leaving the road. ? A vehicle-to-infrastructure communication system is used to exchange data. ? Fuzzy logic is used both for the warning and for the avoidance systems. ? Experiments with real cars were conducted with propper results. To decrease traffic accidents is a declared target of Intelligent Transportation Systems (ITS). Among them, rear-end collisions are one of the most common and constitute one of the as yet unsolved topics in the automotive sector. This paper presents an approach to the avoidance of rear-end collisions in congested traffic situations. To this end, two fuzzy controllers, a Collision Warning System (CWS) and a Collision Avoidance System (CAS), have been developed. The former is in charge of alerting the driver in case of an impending rear-end collision to prevent or mitigate the crash. The latter is in charge of generating an output control signal for the steering wheel in order to avoid the collision. Both CWS and CAS have been tested with real cars using vehicle-to-infrastructure (V2I) communications to acquire data of vehicles. A system installed in the infrastructure capable of assessing road traffic conditions in real time is responsible for transmitting the data of the vehicles in the surrounding area. The systems have been tested at the Center for Automation and Robotics (CAR)'s facilities with two mass-produced cars.

98 citations

Journal ArticleDOI
01 Oct 1992
TL;DR: Warning signal effectiveness issues associated with the design of a front-to-rear-end collision warning system are discussed and four design concepts are considered, including a graded sequence of warnings and an individualization of warnings.
Abstract: Warning signal effectiveness issues associated with the design of a front-to-rear-end collision warning system are discussed. Potential negative effects are that warnings may occur rarely, startlin...

91 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20213
202026
201925
201846
201731
201631