Traffic Safety Facts: State Traffic Data: 2007 Data

2008 ◽  
Keyword(s):  
Traffic Safety ◽  
Traffic Data

scholarly journals Road Hazard Assessment Using Pothole and Traffic Data in South Korea

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Choong Heon Yang ◽  
Jin Guk Kim ◽  
Sung Pil Shin
Keyword(s):  
Hazard Assessment ◽  
Traffic Safety ◽  
Hazard Index ◽  
Surface Damage ◽  
Road Surface ◽  
Risk Level ◽  
Traffic Data ◽  
Surface Conditions ◽  
The Road ◽  
Damage Data

Road surface conditions have a direct effect on the quality of driving, which in turn affects overall traffic flow. Many studies have been conducted to accurately identify road surface conditions using diverse technologies. However, these previously proposed methods may still be insufficient to estimate actual risks along the roads because the exact road risk levels cannot be determined from only road surface damage data. The actual risk level of the road must be derived by considering both the road surface damage data as well as other factors such as speed. In this study, the road hazard index is proposed using smartphone-obtained pothole and traffic data to represent the level of risk due to road surface conditions. The relevant algorithm and its operating system are developed to produce the estimated index values that are classified into four levels of road risk. This road hazard index can assist road agencies in establishing road maintenance plans and budgets and will allow drivers to minimize the risk of accidents by adjusting their driving speeds in advance of dangerous road conditions. To demonstrate the proposed risk hazard assessment methodology, road hazards were assessed along specific test road sections based on observed pothole and historical travel speed data. It was found that the proposed methodology provides a rational method for improving traffic safety.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Traffic Lights on Consecutive Intersections and Pedestrian Crossings Along Linear Settlements Located on National Roads

2012 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Alina Burlacu ◽  
Mihai Dicu ◽  
Valentin Anton
Keyword(s):  
Traffic Safety ◽  
Traffic Control ◽  
Performance Indicators ◽  
Central Area ◽  
Traffic Data ◽  
Traffic Lights ◽  
Micro Simulation ◽  
Pedestrian Traffic ◽  
National Road ◽  
Traffic Measurements

Abstract In Romania, with time, settlements located along the main roads have developed and transformed into linear towns, with significant local and connection traffic, important administrative, economic, commercial and touristic activities concentrated in the central area, as well as pedestrian traffic of over 200 pedestrians per hour in the main pedestrian crossings on the route. The object of the present study is made by a series of junctions situated on National Road 1 in Busteni town, on a dangerous road sector. For this study, traffic measurements, simulations and suggestions for improving the existing situation were made. Based on the simulated traffic flows, there were performed capacity analysis with PTV Vissim and Traficware Synchro softwares, and were developed appropriate planning solutions for the intersections, resulting in tables with extracted performance indicators based on micro simulation of the traffic values. Also planning solutions for horizontal design and proposals for traffic lights were made for junctions that can not operate under priority traffic on one direction or which are presenting traffic safety risk. Based on the traffic data, it was taken in consideration the necessity to make planning proposals and to develop design solutions immediately applicable, with minimum intervention. Solutions will refer to the geometric planning of the intersections, but with new plans and timings for traffic lights, including proposals for new equipment; regulating the traffic flow: development/ refurbishment of intersections and pedestrian crossings; optimization of routing programs in order to achieve a higher level of service and more efficient traffic control indicators; segregation of pedestrian movements by vehicles traffic, implementation of physical devices to lock / channel the traffic.

scholarly journals A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Adrian Fazekas ◽  
Friederike Hennecke ◽  
Eszter Kalló ◽  
Markus Oeser
Keyword(s):  
Reaction Time ◽  
Traffic Safety ◽  
Surveillance Systems ◽  
Traffic Data ◽  
Safety Indicator ◽  
Road Section ◽  
Deceleration Rate ◽  
Conflict Situations ◽  
Significant Research ◽  
Initial Acceleration

The development of surrogate safety measures has drawn significant research interest in the field of traffic safety analysis. Innovative data sources such as video-based traffic surveillance systems have made it possible to collect large amounts of microscopic traffic data. By deriving traffic safety indicators such as the Deceleration Rate to Avoid a Crash (DRAC) statements concerning traffic safety over a determined road section can be made. This work presents the derivation of a novel surrogate safety indicator based on a Constant Initial Acceleration and reaction time assumption which considers the interaction between vehicles and describes the traffic safety of a road section. The evaluation is based on a video-based microscopic traffic data collection. To examine the efficiency, the new developed indicator is compared to the original Deceleration Rate to Avoid a Crash (DRAC) and the modified indicator (MDRAC) which includes the reaction time. The results showed that the new indicator is more sensitive in detecting critical situations than the other indicators and in addition describes the conflict situations more realistically.

Research on Traffic Safety on Freeway Merging Sections Based on TTC and PET

2014 ◽  
Vol 587-589 ◽  
pp. 2224-2229
Author(s):  
Xiang Hai Meng ◽  
Zhi Zhao Zhang ◽  
Yong Yi Shi
Keyword(s):  
Statistical Analysis ◽  
Traffic Safety ◽  
Conflict Situation ◽  
Lane Change ◽  
Traffic Data ◽  
Time To Collision ◽  
Time Headway ◽  
Vehicle Type ◽  
Traffic Conflict ◽  
Surrogate Measures

Since the traffic safety of freeway interchange merging sections and the accidents occurred in this areas can not meet the requirement of statistical analysis, this paper employed traffic conflict technique to analyze the safety situation of freeway merging sections. The traffic data of vehicles through the merging sections are collected and analyzed. These data include the vehicle type, speed, time headway and others based on the features of individual vehicle. Then two methodologies are developed, the first is based on time to collision (TTC), which can calculate the rear-end conflict number, while the second is based on post encroachment time (PET), which can calculate the lane-change conflict number. The results show that these surrogate measures can quantitatively describe the rear-end conflict situation and lane-change conflict situation.

scholarly journals Traffic Analysis of Specific Motorways with Different Usage Characteristics in Hungary with the Method of Section Control

2020 ◽  
Vol 13 (3) ◽  
pp. 211-245
Author(s):  
Zsolt Sándor ◽  
Ákos Monostori
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Traffic Analysis ◽  
Traffic Data ◽  
Speed Limits ◽  
Average Speed ◽  
The Road ◽  
Real Traffic ◽  
Made In

This article presents the result of the large-scale average speed analysis made in Hungary at two motorways in 12 different sections. During the analysis speeds of normal and reduced operations were analysed. This is the first analysis in Hungary which is based on real traffic data. Data from the enforcement system of the road usage right were used and these data were provided by the Hungarian National Toll Payment Service Plc. Results have shown that the majority of the drivers are not obey the speed limits, which has huge risk on traffic safety.

Deep Spatio-Temporal Modified-Inception with Dilated Convolution Networks for Citywide Crowd Flows Prediction

2019 ◽  
Vol 34 (08) ◽  
pp. 2052003
Author(s):  
Yan Kang ◽  
Bing Yang ◽  
Hao Li ◽  
Tie Chen ◽  
Yachuan Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Road Traffic ◽  
Network Models ◽  
Traffic Data ◽  
Traffic Flow Prediction ◽  
Dilated Convolution ◽  
Flow Prediction ◽  
Traffic Capacity ◽  
Spatio Temporal

Traffic flow prediction has great significance for improving road traffic capacity and traffic safety. However, traffic flow in a certain area is usually affected by some factors such as weather, holidays and neighboring areas. So, traffic situation is complicated and traffic flow prediction is difficult. How to use existing traffic data information to predict future traffic flow is the key to this problem. In this paper, we develop an accurate prediction model based on dilated convolution — ST-MINet (Deep Spatio-Temporal Modified-Inception with Dilated convolution Networks). We fully consider the complexity, nonlinearity and uncertainly of traffic network by summarizing various network models such as ResNet and Inception. So, we use the deep space-time residual network to ensure the convolution accuracy of the information’s position distribution on the basis of existing networks. Then, we add the cavity convolution to the model, which can effectively control the field of view of the convolution kernel. In the experimental part, we compare ten classical algorithms with our ST-MINet, it shows that our model has higher accuracy than others.

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