scholarly journals Variations in Naturalistic Driving Behavior and Visual Perception at the Entrances of Short, Medium, and Long Tunnels

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xinsha Fu ◽  
Shijian He ◽  
Jintao Du ◽  
Xiaofei Wang ◽  
Ting Ge
Keyword(s):  
Visual Perception ◽  
Traffic Accident ◽  
Driving Behavior ◽  
Accident Risk ◽  
Saccade Amplitude ◽  
Driver Performance ◽  
General Variation ◽  
Naturalistic Driving ◽  
Short Tunnel ◽  
Correlation Factors

Driver behavior and visual perception are very important factors in the management of traffic accident risk at tunnel entrances. This study was undertaken to analyze the differences in driving behavior and visual perception at the entrances of three types of tunnels, namely, short, medium-length, and long tunnels, under naturalistic driving conditions. Using three driving behavior indicators (speed, deceleration, and position) and two visual perception indicators (fixation and saccade), the driving performance of twenty drivers at six tunnels (two tunnels per condition) was comparatively analyzed. The results revealed that the speed maintained by the drivers prior to deceleration with braking under the short-tunnel condition was significantly larger than that under the medium- and long-tunnel conditions and that the drivers had a greater average and maximum deceleration rates under the short-tunnel condition. A similar general variation of driver visual perception appeared under the respective tunnel conditions, with the number of fixations gradually increasing and the maximum saccade amplitude gradually decreasing as the drivers approached the tunnel portal. However, the variation occurred approximately 60 m earlier under the short-tunnel condition than under the medium- and long-tunnel conditions. Interactive correlations between driving behavior and visual perception under the three conditions were established. The commencement of active deceleration was significantly associated (with correlation factors of 0.80, 0.77, and 0.79 under short-, medium-, and long-tunnel conditions, respectively) with the point at which the driver saccade amplitude fell below 10 degrees for more than 3 s. The results of this study add to the sum of knowledge of differential driver performance at the entrances of tunnels of different lengths.

scholarly journals STUDY ON SPEEDING BEHAVIOUR OF DRIVER’S MOTOR VEHICLES TO TRAFFIC ACCIDENT RISK IN NATIONAL ROAD IN MAKASSAR CITY

2019 ◽  
Vol 2 (3) ◽  
pp. 159
Author(s):  
Muhammad Isran Ramli ◽  
Hajriyanti Yatmar ◽  
Muralia Hustim ◽  
Elvita Bellani
Keyword(s):  
Potential Risk ◽  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Motor Vehicles ◽  
Accident Risk ◽  
Driver Performance ◽  
Normal Speed ◽  
National Road

The traffic accidents often occur due to the lack of awareness while driving. The variance reason such us undisciplined and unwise to be polite when driving is the main cause of crashes. Road safety is one of the important roles to support and to develop to the commonwealth. This research aims to investigate the potential risk of speeding on a national road in Makassar. The driver performance the speeding is more occurs in the midnight till dawn. The situation of drivers while speeding is conducted to make them arrived early to the destination. The respondents' preferences also show the speed of the vehicle through the national road is around 40 – 60 km/hour. It is still in normal speed requirement at least 60 km/hour. Potensi kecelakaan akibat ketidaktertiban dalam berlalu lintas dapat terjadi. Penyebab kecelakaan lalu lintas dapat beragam seperti kurangnya kesadaran untuk berkendara secara bijak dan tertib serta penuh tanggung jawab. Pentingnya menjaga ketertiban ketertiban berkendara merupakan salah satu upaya dalam mendukung pembangunan dan integrasi nasional untuk memajukan kesejahteraan umum. Dalam melihat potensi risiko kecelakaan maka dilakukan suatu studi terkait perilaku pengendara kendaraan bermotor yang melampaui batas kecepatan pada ruas jalan di nasional di kota Makassar. Kecenderungan pengendara kendaraan bermotor yang melampaui batas kecepatan maksimum banyak terjadi pada malam hingga dini hari dengan tujuan agar pengendara sampai lebih cepat atau tepat waktu. Hasil wawancara juga menunjukkan bahwa responden mayoritas menggunakan kecepatan pada kisaran 40 – 60 km/jam dan masih masuk dalam kategori kecepatan normal dan tidak melampaui batas maksimum .

scholarly journals A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Lin Hu ◽  
Xingqian Bao ◽  
Hequan Wu ◽  
Wenguang Wu
Keyword(s):  
Cluster Analysis ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Accident Risk ◽  
Driving Style ◽  
Driving Experience ◽  
Accident Data ◽  
Highly Correlated

Traffic accidents are often related to the driver’s driving behavior, which is mainly decided by his or her characters. In order to explore the correlation of traffic accident risk with driver characters, the age, driving experience, and driving style were statistically analyzed based on the China In-Depth Accident Study (CIDAS) database. Taking the number of casualties in the accident as evaluation indicators, the grey cluster analysis was used to classify the drivers into four accident risk ranks: low, medium to low, medium to high, and high. The results show that drivers aged 18–30 years are more likely to induce accidents; drivers with 6–10 years of driving experience have the highest risk to accidents, followed by drivers with 4-5 years of driving experience; and the driving style is also highly correlated with accident risk tendency.

Autonomous Vehicles’ Car-Following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model

2021 ◽  
pp. 036119812199485
Author(s):  
Xiao Qi ◽  
Ying Ni ◽  
Yiming Xu ◽  
Ye Tian ◽  
Junhua Wang ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Reference Model ◽  
Numerical Test ◽  
Safety Evaluation ◽  
Driving Behavior ◽  
Car Following ◽  
Driving Behaviors ◽  
Human Driver ◽  
Normal Human ◽  
Naturalistic Driving

A large portion of the accidents involving autonomous vehicles (AVs) are not caused by the functionality of AV, but rather because of human intervention, since AVs’ driving behavior was not properly understood by human drivers. Such misunderstanding leads to dangerous situations during interaction between AV and human-driven vehicle (HV). However, few researches considered HV-AV interaction safety in AV safety evaluation processes. One of the solutions is to let AV mimic a normal HV’s driving behavior so as to avoid misunderstanding to the most extent. Therefore, to evaluate the differences of driving behaviors between existing AV and HV is necessary. DRIVABILITY is defined in this study to characterize the similarity between AV’s driving behaviors and expected behaviors by human drivers. A driving behavior spectrum reference model built based on human drivers’ behaviors is proposed to evaluate AVs’ car-following drivability. The indicator of the desired reaction time (DRT) is proposed to characterize the car-following drivability. Relative entropy between the DRT distribution of AV and that of the entire human driver population are used to quantify the differences between driving behaviors. A human driver behavior spectrum was configured based on naturalistic driving data by human drivers collected in Shanghai, China. It is observed in the numerical test that amongst all three types of preset AVs in the well-received simulation package VTD, the brisk AV emulates a normal human driver to the most extent (ranking at 55th percentile), while the default AV and the comfortable AV rank at 35th and 8th percentile, respectively.

scholarly journals Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies

2021 ◽  
Vol 152 ◽  
pp. 105986
Author(s):  
Sara A. Freed ◽  
Lesley A. Ross ◽  
Alyssa A. Gamaldo ◽  
Despina Stavrinos
Keyword(s):  
Multilevel Modeling ◽  
Driving Behavior ◽  
Distracted Driving ◽  
Naturalistic Driving

Traffic accident risk

2015 ◽  
pp. 179-190
Author(s):  
Vinod Palissery ◽  
Akshay Dwarakanath ◽  
Mark Elliott
Keyword(s):  
Traffic Accident ◽  
Accident Risk
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