scholarly journals Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Engineering ◽  
2020 ◽  
Vol 12 (02) ◽  
pp. 71-81
Author(s):  
Zhaoyou Ma ◽  
Shouen Fang ◽  
Shuo Liu ◽  
Bowen Cai
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
The Relationship

scholarly journals Speed Guidance and Trajectory Optimization of Traffic Flow in a Low-Visibility Zone of a Highway Segment within Multiple Signalized Intersections

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Heng Ding ◽  
Yajie Cheng ◽  
Xiaoyan Zheng ◽  
Wenjuan Huang ◽  
Jiye Li ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Trajectory Optimization ◽  
Traffic Accidents ◽  
Control Method ◽  
Signalized Intersections ◽  
Traffic Efficiency ◽  
Traffic Delays ◽  
Optimization Control ◽  
Low Visibility ◽  
The Relationship

In a low-visibility environment, the speed of traffic flow is more discrete on highways, which easily causes traffic accidents. To improve the safety and efficiency level of low-visibility zones on highways, a comprehensive optimization control method is proposed. The method uses formations of a low-visibility zone to queue discrete vehicles from the upstream intersection. Then, according to the relationship between the arrival time of the fleet and the phase state of the intersection, speed guidance and trajectory optimization are carried out to improve the traffic efficiency of the fleet that enters the low-visibility zone. Finally, a low-visibility zone of a highway segment is analysed with different traffic flows for the main road and the secondary roads, and the results show that the proposed optimization control method can prevent trajectory overlap and effectively decrease traffic delays on highways.

Using CrowdFlower to Study the Relationship between Self-Reported Violations and Traffic Accidents

2014 ◽  
Author(s):  
Joost de Winter ◽  
Miltos Kyriakidis ◽  
Dimitra Dodou ◽  
Riender Happee
Keyword(s):  
Traffic Accidents ◽  
The Relationship

scholarly journals Study of the relationship between time and traffic flow on motorways

2019 ◽  
Vol 1333 ◽  
pp. 032063 ◽  
Author(s):  
E V Pechatnova ◽  
V N Kuznetsov
Keyword(s):  
Traffic Flow ◽  
The Relationship

INFLUENCE OF PSYCHOPHYSIOLOGICAL CHARACTERISTICS OF PERSONS UNDER THE AGE OF EIGHTEEN ON DRIVING A VEHICLE

2021 ◽  
pp. 97-100
Author(s):  
Н.М. Кузнецова
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Statistical Information ◽  
The State ◽  
Road Traffic Accidents ◽  
Traffic Violations ◽  
The Relationship

В статье отражены статистические сведения, характеризующие состояние дорожно-транспортной аварийности, в том числе из-за нарушения правил дорожного движения водителями в возрасте 16-19 лет, рассмотрены взаимосвязь и влияние психофизиологических особенностей на управление транспортным средством у лиц, не достигших 18-летнеговозраста. The article reflects statistical information characterizing the state of road traffic accidents including those due to traffic violations by drivers aged 16-19 years, traced the relationship and influence of psychophysiological characteristics on driving a vehicle in persons under 18 years of age.

scholarly journals SCALE-FREE NETWORK THEORY IN STUDYING THE STRUCTURE OF THE ROAD NETWORK IN POLAND

2014 ◽  
Vol 26 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Katarzyna KOCUR-BERA
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Network Theory ◽  
Road Network ◽  
Scale Free Network ◽  
Scale Free ◽  
The Road ◽  
Normal Character ◽  
Free Network ◽  
The Relationship

This paper discusses the issue of statistical analysis of traffic flow in different regions of Poland. Such analysis allows us to identify “valuable (sensitive) areas” whose damage or blockage may provoke considerable disturbances or even a stoppage of traffic flow in the examined road network. The results of the studies indicate that the road network in Poland has the properties of a scale-free network. The distribution of the examined variables does not have a normal character, whereas the relationship between the number of nodes and the number of connections is a power-law feature. 

scholarly journals Fatigue Driving Prediction on Commercial Dangerous Goods Truck Using Location Data: The Relationship between Fatigue Driving and Driving Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shifeng Niu ◽  
Guiqiang Li
Keyword(s):  
Random Forest ◽  
Traffic Accidents ◽  
Ground Truth ◽  
Predictive Performance ◽  
Location Data ◽  
Dangerous Goods ◽  
Driving Time ◽  
Road Type ◽  
Fatigue Driving ◽  
The Relationship

The approaches monitoring fatigue driving are studied because of the fact that traffic accidents caused by fatigue driving often have fatal consequences. This paper proposes a new approach to predict driving fatigue using location data of commercial dangerous goods truck (CDT) and driver’s yawn data. The proposed location data are from an existing dataset of a transportation company that was collected from 166 vehicles and drivers in an actual driving environment. Six different categories of the predictor set are considered as fatigue-related indexes including travel time, day of week, road type, continuous driving time, average velocity, and overall mileage. The driver’s yawn data are used as a proxy for ground truth for the classification algorithm. From the six different categories of the predictor set, we obtain a set of 17 predictor variables to train logistic regression, neural network, and random forest classifiers. Then, we evaluate the predictive performance of the classifiers based on three indexes: accuracy, F1-measure, and area under the ROC curve (AUROC). The results show that the random forest is more suitable for predicting fatigue driving using location data according to its best accuracy (74.18%), F1-measure (62.02%), and AUROC (0.8059). Finally, we analyze the relationship between fatigue driving and driving environment according to variable importance described by random forest. In summary, our results obviously exhibit the potential of location data for reducing the accident rate caused by fatigue driving in practice.

scholarly journals Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Hao ◽  
Zhaolei Zhang ◽  
Zhibo Gao ◽  
Kefu Yi ◽  
Li Liu ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Heterogeneous Traffic ◽  
Psychological Characteristics ◽  
Distribution Characteristics ◽  
Mixed Traffic ◽  
Lane Changing ◽  
Headway Distribution ◽  
Analysis Models

As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). In order to make CAVs accurately identify the driving behavior of manual-human vehicles to avoid traffic accidents caused by lane changing, it is necessary to analyze the characteristics of the mandatory lane-changing (MCL) process in the weaving area. An analytical MCL method based on the driver’s psychological characteristics is proposed in this study. Firstly, the driver’s MLC pressure concept was proposed by leading in the distance of the off-ramp. Then, the lane-changing intention was quantified by considering the driver’s MLC pressure and tendentiousness. Finally, based on the lane-changing intention and the headway distribution of the target lane, an MLC positions probability density model was proposed to describe the distribution characteristics of the lane-changing position. Through the NGSIM data verification, the lane-changing analysis models can objectively describe the vehicle lane-changing characteristics in the actual scenarios. Compared with the traditional lane-changing model, the proposed models are more interpretable and in line with the driving intention. The results show significant improvements in the lane-changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future.

Application of Catastrophe Theory in Traffic Flow of Highway Tunnel Group

2013 ◽  
Vol 734-737 ◽  
pp. 1609-1612
Author(s):  
Wei Zhan ◽  
Yue Quan Shang ◽  
Feng Xia Chi
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Catastrophe Theory ◽  
Critical Density ◽  
Flow Characteristics ◽  
Control Measures ◽  
Highway Tunnel ◽  
Relationship Of ◽  
The Relationship ◽  
Highway Management

Based on the investigation of traffic flow in a typical highway tunnel group, the traffic flow characteristics were analyzed by catastrophe theory with the relationship of the speed, volume and density. The discontinuous leaping change phenomenon of the traffic data under large traffic volume is better explained by the catastrophe model than the traditional ways. The value of critical density can be obtained by analyzing the critical state of traffic flow. Then the traffic flow warning can be realized in highway tunnel group region. The data and results can be used for the reference of taking traffic control measures by highway management.

scholarly journals 3D Road Scene Monitoring Based on Real-Time Panorama

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuezhou Wu ◽  
Changjiang Liu ◽  
Shiyong Lan ◽  
Menglong Yang
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
High Precision ◽  
Motion Detection ◽  
Large Scale ◽  
Traffic Accidents ◽  
Traffic Situation ◽  
Traffic Capacity ◽  
Monitoring Framework ◽  
3D Scene

Road monitoring helps to control the regional traffic situation so as to adjust the traffic flow. Real-time panorama is conducive to timely treat traffic accidents and to greatly improve traffic capacity. This paper designs a 3D road scene monitoring framework based on real-time panorama. The system is the combination of large scale panorama, satellite map textures, and 3D scene model, in which users can ramble freely. This paper has the following contributions. Firstly, land-points were extracted followed by motion detection, then comotion algorithm was applied to land-points from adjacent cameras, and homography matrix was constructed. Secondly, reference camera was chosen and transformed to overhead viewpoint; subsequently multiviews were morphed to the same viewpoint and stitched to panorama. Finally, the registration based on high-precision GPS information between 2D road panorama and 3D scene model was also proposed. The proposed framework has been successfully applied to a large road intersection monitoring. Experimental results are furnished at the end of the paper.

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