Evaluation of Preventing Rear-end Collision System
نویسندگان
چکیده
منابع مشابه
Rear-End Collision–Warning System Design and Evaluation via Simulation
The design of an innovative rear-end collision-warning system was evaluated for effectiveness. The crash scenario involves a lead vehicle not moving (LVNM) in one lane of a straight, dry, paved arterial road and a following vehicle approaching in the same lane. The LVNM has a rearfacing sensor and is equipped with the rear crash-warning system, which allows the LVNM to flash its brake lights or...
متن کاملA fuzzy aid rear-end collision warning/avoidance system
0957-4174/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.eswa.2012.02.054 ⇑ Corresponding author. E-mail address: [email protected] (V. Milané 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 ...
متن کاملRear-end Collision Prevention Using Mobile Devices
Portable devices like tablet PCs and smart phones are being used more often these days within the vehicular environment. Drivers use them for listening to music, navigation assistance, accessing internet and also mainly for speaking over the phone. Most of these features are made possible in the portable devices due to the availability and use of many sensors such as global positioning system (...
متن کاملHuman Performance Models and Rear-End Collision Avoidance Algorithms
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, algor...
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ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 2007
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.73.244