A 2D Vehicle-to-Vehicle Crash Model for Fleet Analysis (Part-I)

2005 ◽  
Author(s):  
Mingde Su ◽  
Guy Nusholtz ◽  
Venkatesh Agaram
Keyword(s):  
Vehicle To Vehicle ◽  
Vehicle Crash ◽  
Crash Model

scholarly journals Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3131-3138 ◽  
Author(s):  
Bernard B. Munyazikwiye ◽  
Hamid Reza Karimi ◽  
Kjell G. Robbersmyr
Keyword(s):  
Genetic Algorithm ◽  
Measured Data ◽  
Frontal Crash ◽  
Model Based ◽  
Vehicle To Vehicle ◽  
Crash Model

Aggressivity-Reducing Structure of Large Vehicles in Side Vehicle-to-Vehicle Crash

2005 ◽  
Author(s):  
Akiko Abe ◽  
Takayuki Sunakawa ◽  
Shinji Fujii ◽  
Masanobu Fukushima ◽  
Shigeru Ogawa
Keyword(s):  
Vehicle To Vehicle ◽  
Vehicle Crash

A Study of Crash Energy and Severity in Frontal Vehicle-To-Vehicle Crash Tests

2011 ◽  
Author(s):  
Mahmoud Yousef Ghannam ◽  
Todd Clark ◽  
Yeruva Reddy ◽  
Jinkoo Lee
Keyword(s):  
Vehicle To Vehicle ◽  
Vehicle Crash ◽  
Crash Tests

Contributing factors to vehicle to vehicle crash frequency and severity under rainfall

2014 ◽  
Vol 50 ◽  
pp. 1-10 ◽  
Author(s):  
Soyoung Jung ◽  
Kitae Jang ◽  
Yoonjin Yoon ◽  
Sanghyeok Kang
Keyword(s):  
Contributing Factors ◽  
Crash Frequency ◽  
Vehicle To Vehicle ◽  
Vehicle Crash

Safety effects of highway terrain types in vehicle crash model of major rural roads

2011 ◽  
Vol 15 (2) ◽  
pp. 405-412 ◽  
Author(s):  
Jaisung Choi ◽  
Sangyoup Kim ◽  
Tae-Young Heo ◽  
Jeomho Lee
Keyword(s):  
Rural Roads ◽  
Vehicle Crash ◽  
Crash Model

FPGA Based Vehicle to Vehicle Communication in Spartan 3E

2020 ◽  
Vol 8 ◽  
pp. 14-21
Author(s):  
Surya Man Koju ◽  
Nikil Thapa
Keyword(s):  
Signal Processing ◽  
Autonomous Vehicle ◽  
Processing Unit ◽  
Warning Signals ◽  
Vehicle Communication ◽  
Digital Vlsi ◽  
Vehicle To Vehicle ◽  
Vehicle Operation ◽  
Vehicle Technology ◽  
The Voice

This paper presents economic and reconfigurable RF based wireless communication at 2.4 GHz between two vehicles. It implements digital VLSI using two Spartan 3E FPGAs, where one vehicle receives the information of another vehicle and shares its own information to another vehicle. The information includes vehicle’s speed, location, heading and its operation, such as braking status and turning status. It implements autonomous vehicle technology. In this work, FPGA is used as central signal processing unit which is interfaced with two microcontrollers (ATmega328P). Microcontroller-1 is interfaced with compass module, GPS module, DF Player mini and nRF24L01 module. This microcontroller determines the relative position and the relative heading as seen from one vehicle to another. Microcontroller-2 is used to measure the speed of vehicle digitally. The resulting data from these microcontrollers are transmitted separately and serially through UART interface to FPGA. At FPGA, different signal processing such as speed comparison, turn comparison, distance range measurement and vehicle operation processing, are carried out to generate the voice announcement command, warning signals, event signals, and such outputs are utilized to warn drivers about potential accidents and prevent crashes before event happens.

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