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

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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Experimental Application of Global Positioning system To Locate Motor Vehicle Crashes: Impact on Time and Accuracy

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1625-06 ◽

1998 ◽

Vol 1625 (1) ◽

pp. 41-49 ◽

Cited By ~ 4

Author(s):

John S. Miller ◽

Duane Karr

Keyword(s):

Global Positioning System ◽

Human Error ◽

Motor Vehicle ◽

Motor Vehicle Crash ◽

Positioning System ◽

Gps Receivers ◽

Crash Data ◽

Vehicle Crash ◽

Global Positioning ◽

Conventional Methods

Motor vehicle crash countermeasures often are selected after an extensive data analysis of the crash history of a roadway segment. The value of this analysis depends on the accuracy or precision with which the crash itself is located. yet this crash location only is as accurate as the estimate of the police officer. Global Positioning System (GPS) technology may have the potential to increase data accuracy and decrease the time spent to record crash locations. Over 10 months, 32 motor vehicle crash locations were determined by using both conventional methods and hand-held GPS receivers, and the timeliness and precision of the methods were compared. Local crash data analysts were asked how the improved precision affected their consideration of potential crash countermeasures with regard to five crashes selected from the sample. On average, measuring a crash location by using GPS receivers added up to 10 extra minutes, depending on the definition of the crash location, the technology employed, and how that technology was applied. The average difference between conventional methods of measuring the crash location and either GPS or a wheel ranged from 5 m (16 ft) to 39 m (130 ft), depending on how one defined the crash location. Although there are instances in which improved precision will affect the evaluation of crash countermeasures, survey respondents and the literature suggest that problems with conventional crash location methods often arise from human error, not a lack of precision inherent in the technology employed.

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Vehicle-to-Vehicle Connectivity and Communication Framework for Vehicular Ad-Hoc Networks

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems ◽

10.1109/cisis.2014.7 ◽

2014 ◽

Cited By ~ 20

Author(s):

Danda B. Rawat ◽

Bhed B. Bista ◽

Gongjun Yan ◽

Stephan Olariu

Keyword(s):

Ad Hoc Networks ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Communication Framework ◽

Vehicle To Vehicle ◽

Hoc Networks

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Analysis of Non-Stationarity for 5.9 GHz Channel in Multiple Vehicle-to-Vehicle Scenarios

Sensors ◽

10.3390/s21113626 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3626

Author(s):

Fang Li ◽

Wei Chen ◽

Yishui Shui

Keyword(s):

Transmission Rate ◽

Radio Channel ◽

Vertical Direction ◽

Statistical Characteristics ◽

Small Scale ◽

Delay Spread ◽

Important Indicator ◽

Power Delay Profile ◽

Channel Characteristics ◽

Vehicle To Vehicle

The vehicle-to-vehicle (V2V) radio channel is non-stationary due to the rapid movement of vehicles. However, the stationarity of the V2V channels is an important indicator of the V2V channel characteristics. Therefore, we analyzed the non-stationarity of V2V radio channels using the local region of stationarity (LRS). We selected seven scenarios, including three directions of travel, i.e., in the same, vertical, and opposite directions, and different speeds and environments in a similar driving direction. The power delay profile (PDP) and LRS were estimated from the measured channel impulse responses. The results show that the most important influences on the stationary times are the direction and the speed of the vehicles. The average stationary times for driving in the same direction range from 0.3207 to 1.9419 s, the average stationary times for driving in the vertical direction are 0.0359–0.1348 s, and those for driving in the opposite direction are 0.0041–0.0103 s. These results are meaningful for the analysis of the statistical characteristics of the V2V channel, such as the delay spread and Doppler spread. Small-scale fading based on the stationary times affects the quality of signals transmitted in the V2V channel, including the information transmission rate and the information error code rate.

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