Analysis of rear-end collision accident of urban traffic based on safety pre-warning

: 14 With the increase of per capita car ownership, traffic accidents frequently occur, in 15 which rear-end collision accounts for 30% to 40% of the total accidents; thus, rear-end 16 collision has become the primary factor of traffic environment deterioration. Therefore, 17 how to improve road traffic safety and reduce the probability of rear-end collision has 18 become a major social concern. In this study, based on the safety pre-warning algorithm, 19 a vehicle collision model was built, and a vehicle anti-collision warning system was 20 established. The calculation was performed based on the sample data to obtain the 21 prediction value of vehicle collision time under different driving speeds, so as to 22 provide drivers with effective response time and reduce the casualties and property 23 losses caused by a vehicle collision. The experimental results showed that the accuracy 24 rate of the pre-warning reached 80% when the speed was regarded as a variable, and 25 the simulation results showed that the early pre-warning or delayed pre-warning rate 26 was very low, and the timeliness rate reached 89%, which enables drivers to react 27 quickly in the appropriate time and effectively reduces the risk of vehicle rear-end 28 collision. 29


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With the increase of automobile production and ownership, traffic problem has become 33 the basic problem of the city. Rear-end collision accident is the most common traffic 34 3 problem and the biggest loss problem. At present, due to the imperfection of the vehicle 35 warning system, drivers often can not respond in the first time, resulting in the loss of 36 life and property. Therefore, it is necessary to study the analysis and early warning of 37 rear-end collision. Scholars at home and abroad have put forward their views on this. 38 Lee and Abdel-Aty [1] Table 1. In Table 1, the comparison of the time required for rear-end collision and TTC showed 168 that the rear-end collision accidents in the first group and fifth group would not occur, 169 and the pre-warning system signal did not ring; however, in the 2 nd , 3 rd and 4 th group,

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TTC > t, thus the risk was assessed as dangerous, and the pre-warning system was 171 required to timely prompt the driver to decelerate and brake, and all three alarms 172 sounded. The alarm response was correct in the test of the five groups of data, which 173 showed that the pre-warning system was feasible. After passing the pre-test, the next 174 experiment was carried out.  Table 2. It was seen from Table 1 that the safety pre-warning algorithm system that took speed 206 as the main benchmark was accurate in predicting the risk of vehicles at the low speed, rotation system was adopted, and the test was repeated 5 times, 50 times each group.

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Finally, 150 groups of data were obtained. The timeliness rate of the safety pre-warning 236 algorithm is shown in Table 3.  This study provides a proof for the efficient analysis and timely feedback of the safety 256 pre-warning algorithm and also offers a more powerful guarantee for the application of 257 the safety pre-warning system in the field of avoiding vehicle rear-end collision.

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(1) The driver should control the speed. It was seen from the experimental results of 264 this study that the speed was the most direct and key factor affecting the probability of 265 rear-end collision [13]. The simulation experiment also verified that there was still a 266 deviation in the accuracy rate and timeliness rate in high-speed driving even when the 267 pre-warning system was used for preventing rear-end collision. Therefore, only when 268 the driver controls the speed carefully can the problem be solved fundamentally.

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(2) The driver should regularly check whether the vehicle braking performance is good.

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If the braking performance deteriorates, the braking reaction will be slowed down, and 271 the braking duration will be shortened, which will shorten the time before the  (1) vehicle speed was an important factor affecting the occurrence of rear-end collision;

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(2) the safety pre-warning algorithm based pre-warning system had strong feasibility 291 for the analysis and judgment of rear-end collision accidents, which was manifested in 292 high accuracy and high timeliness rate;

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(3) the application of the safety pre-warning algorithm has a good prospect in avoiding 294 the rear-end collision accident in urban traffic, which is conducive to reduce the 295 collision risk and ensure the personal safety and traffic safety to the greatest extent. The datasets used and/or analysed during the current study are available from the 300 corresponding author on reasonable request.  Figure 2 The working structure of the security pre-warning system 363