Collision-mitigation level of collision-avoidance braking system

2014 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Keisuke Suzuki ◽  
Hitoshi Tanaka ◽  
Yoshiki Miichi ◽  
Masami Aga
Author(s):  
Palanisamy R ◽  
PLS Sai Kumar ◽  
Mekala Paavan Kiran ◽  
Ashutosh Mahto ◽  
Md. Irfan ◽  
...  

<p>Often modern cars have a collision avoidance system built into them known as Pre-Crash System, or Collision Mitigation System in order to reduce the collision. But majority of vehicles on the road, especially heavy motor vehicles lack in such a system. In this paper, the implementation of the Collision Avoidance System is to reduce the risks of collisions at the hairpin bend on a Hilly track, Ghats, or other Zero visibility turns. The proposed system contains a set of IR sensors, LEDs, etc. It uses four IR sensors, which are placed on either side of the hairpin bend. The sensors are mutually exclusive and are connected to LEDs through wires. Based on the output of sensors, the LEDs will glow and start alerting the other vehicle approaching from the other end, Hence the drivers will decrease their speeds which would help in preventing collision. The LEDs will help the drivers in detecting the position of  the vehicles on either side of the bend. During climatic conditions like fog, snow, etc, the visibility of the drivers would decrease due to which they will not be able to see the LEDs, Hence, a collision may take place. To bring help as soon as possible to the injured, we have also made a proposed system which would alert the nearby hospitals that an accident has taken place. We have used Arduino UNO, GSM sim module and these will be kept inside a black box which will be inside the, car safe from breakage during the accident.<strong></strong></p>


2019 ◽  
Vol 158 ◽  
pp. 185-197 ◽  
Author(s):  
A. Jarry ◽  
C. Bonnal ◽  
C. Dupont ◽  
S. Missonnier ◽  
L. Lequette ◽  
...  

Author(s):  
Heidi H. Soule ◽  
Skip Huck ◽  
Andrew Krum ◽  
Yinhai Wang ◽  
Ruimin Ke ◽  
...  

In 2017 the Federal Transit Administration (FTA) awarded Pierce Transit of Lakewood, WA a $1.66 million grant for a bus collision avoidance and mitigation safety research and demonstration project. The project scope includes installation of an advanced technology package, the Pedestrian Avoidance Safety System (PASS) that uses lidar sensors to trigger an automated deceleration and braking system. An “alpha testing” phase included shipping a Pierce Transit bus to Blacksburg, VA for closed-course testing of PASS on Virginia Tech Transportation Institute’s (VTTI’s) Smart Road facility. In addition, VTTI developed a system to observe, measure, and analyze passenger motion during braking events. Following completion of testing at VTTI, the bus will be returned to Pierce Transit. Together with three additional buses currently being outfitted with PASS, all four will be equipped with Transit Event Logging System (TELS) video processers developed by University of Washington’s Smart Transportation Applications & Research (STAR) Lab to analyze PASS accuracy for “false positives” and “false negatives.” Upon successful completion of in-service engineering testing of the initial four buses, an additional 26 buses will be equipped with PASS and all 30 will be monitored using telematics for a year-long demonstration. This paper discusses project background and organization, describes the PASS being tested, provides an overview of the alpha testing, describes project data collection processes, and reviews the criteria and metrics being used to evaluate the system. The paper concludes with observations about lessons learned to date.


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