scholarly journals Accident suppression effects of eliminating drivers' problem behaviors affiliated with traffic accidents on the road. (2). Recent development of the "Niigata Model" for traffic safety.

1998 ◽  
Vol 34 (Supplement) ◽  
pp. 294-295
Author(s):  
Yasuhiro Nagatsuka
Keyword(s):  
Problem Behaviors ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
The Road ◽  
On The Road ◽  
Suppression Effects

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.

Study on the Highway Speed Limit at the Days of Snow and Ice

2012 ◽  
Vol 226-228 ◽  
pp. 2362-2365
Author(s):  
Jun De Liu ◽  
Tian Tian Peng ◽  
Jing Zhuang ◽  
Ya Juan Deng
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Speed Limit ◽  
Practical Application ◽  
Highway Traffic ◽  
The Road ◽  
Ice Conditions ◽  
On The Road ◽  
Rate Limiting ◽  
Snow And Ice

In order to prevent traffic accidents caused by bad speed snow day weather and achieve the purpose of protection of highway traffic safety. Through the analysis of ice conditions, we identified of the rate-limiting model in the snow, snow, snow icing conditions and curve sections, we applied to the model and the calculation of mathematical solution and come to the conclusion of the speed limit which is recommended values at the days of snow and ice disaster conditions. In the practical application, it is convenient to get the speed limit under the necessary conditions through look-up the table of this article in order to ensure the safety of traffic on the road.

scholarly journals Road Traffic Safety Analysis Of Different Junction Types On The State Roads

2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.

Gender Differences and Aggressive Driving Behavior: A Factor Analytic Study

2007 ◽  
Vol 51 (18) ◽  
pp. 1283-1286 ◽  
Author(s):  
Mustapha Mouloua ◽  
J. Christopher Brill ◽  
Edwin Shirkey
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Aggressive Driving ◽  
Highway Traffic ◽  
National Highway Traffic Safety ◽  
The Road ◽  
Factor Analytic ◽  
Components Analysis ◽  
On The Road

Aggressive driving behavior can be manifested in a wide variety of unsafe driving practices such as tailgating, honking, obscene and rude gestures, flashing high beams at slower traffic, and speeding. According the National Highway Traffic Safety Administration 2000 report, aggressive driving was a major cause of traffic accidents and injury. The present study was designed to systematically examine 5 previously developed scales related to aggressive driving behavior using a factor analytic approach. A sample of 253 students were administered these five questionnaires and the data were coded and statistically analyzed using a principal components analysis with Varimax rotation on the 81 items of the five combined scales. Nineteen components accounting for 67.4% of the variance were retained. Component scores were computed for the 19 components and then correlated with gender. Three significant ( p < .05) positive r's were found between gender; factors 11 (bright lights action), 12 (delaying action), and 19 (driving drunk). Males in the sample reported performing these actions more than females. There was one negative r between gender and factor 4 (considerate thoughts), suggesting that females reported more pleasant thoughts than males when angered or annoyed on the road.

Study on Vehicles Speed Discreteness on the Road of Urban-Rural Ecotone

2012 ◽  
Vol 253-255 ◽  
pp. 1967-1970
Author(s):  
Yan Li
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Simulation Software ◽  
The Road ◽  
Road Traffic Safety ◽  
Geographical Unit ◽  
Urban Rural ◽  
On The Road ◽  
The City

Urban-rural ecotone is separate geographical unit, and it is in the parallel connecting area of the city and countryside. With the rapid economic development, traffic accidents in the area showing a significant increase in the trend. Because of vehicles in urban-rural ecotone of many types, traffic is more complex, speed variations and high frequency of speed changes, a greater impact on such sections of road traffic safety. Therefore, this article by the typical section of the survey, combined with the traffic simulation software, using grey relation entropy analysis method to analyze speed discrete of the urban-rural ecotone road, so as to clear the characteristics of various types of vehicles speed.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

SOME TRAFFIC SAFETY ISSUES AT UNREGULATED PEDESTRIAN CROSSINGS IN THE CITY

2021 ◽  
Vol 5 (12(81)) ◽  
pp. 26-32
Author(s):  
V. Volkov ◽  
E. Nabatnikova ◽  
E. Lebedev
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Hourly Interval ◽  
Safety Issues ◽  
The Road ◽  
Probability Estimates ◽  
Mode Of Transport ◽  
Speed Mode

The groups of participants of the pedestrian and automobile flows, whose actions cause the greatest danger to the occurrence of conflict situations in the zone of unregulated transition, are identified. The factors determining the likelihood of a traffic accident at an unregulated transition are systematized, for which probability estimates of the occurrence of road traffic accidents are calculated. As an estimated parameter, the hazard coefficient of a conflict point of an unregulated transition is proposed, which is determined by the ratio of the probability of a traffic accident in the real-time hourly interval to the average annual probability of a traffic accident reduced to the hourly interval. The dependences of the hazard ratio of an unregulated transition are established on the most significant factors: the speed mode of transport in the area before the transition and the state of the road surface.

Regression Analysis of Rural Road Traffic Accidents Causes

2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu
Keyword(s):  
Regression Analysis ◽  
Traffic Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Lower Grade ◽  
The Road ◽  
Rural Road ◽  
Safety Awareness

9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.

scholarly journals The Effects of ITS Application in Speed Management on State Road From Mali Pozarevac to Kragujevac

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tomislav Petrović ◽  
Miloš Milosavljević ◽  
Milan Božović ◽  
Danislav Drašković ◽  
Milija Radović
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Quality Data ◽  
Transport Systems ◽  
Speed Limit ◽  
Accident Risk ◽  
The Road ◽  
Road Users ◽  
Speed Management ◽  
On The Road

The application of intelligent transport systems (hereinafter ITSs) on roads enables continuous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic accident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.

scholarly journals Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa.

2021 ◽  
Vol 67 (4) ◽  
pp. 1-8
Author(s):  
Jacob Adedayo Adedeji ◽  
Xoliswa Feikie
Keyword(s):  
South African ◽  
Traffic Safety ◽  
Road Traffic ◽  
Structured Interview ◽  
Road User ◽  
Novice Drivers ◽  
The Road ◽  
Road Users ◽  
Hand Signal ◽  
On The Road

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

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