scholarly journals Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Zhenjun Zhu ◽  
Yang Lu ◽  
Jun Zeng ◽  
Hongsheng Chen
Keyword(s):  
Decision Making ◽  
Traffic Flow ◽  
Traffic Accident ◽  
Road Network ◽  
Traffic Accidents ◽  
Highway Traffic ◽  
Selection Probability ◽  
The Road ◽  
Influence Area ◽  
The Impact

In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area.

scholarly journals THE IMPACT OF ROAD PARAMETERS AND THE SURROUNDING AREA ON TRAFFIC ACCIDENTS

Transport ◽  
2009 ◽  
Vol 24 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Tomas Šliupas
Keyword(s):  
Traffic Accident ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Real Data ◽  
Road Traffic Accidents ◽  
Surrounding Area ◽  
Accident Rate ◽  
The Road ◽  
The Impact

The article analyses the data on road traffic accidents in Lithuanian main and interurban road networks in the years 2002–2006. The road network is divided into 341 road sections. The surrounding area and road parameters of each of the sections are measured. Then, the dependence of traffic accident rate on the parameters is studied and described using linear and multiple regressions. The equations are built using 90% of the available data and tested forecasting traffic accident rate for the rest of 10% of the data comparing the obtained results with the real data.

scholarly journals Traffic accident analysis based on C4.5 algorithm in WEKA

2019 ◽  
Vol 272 ◽  
pp. 01035 ◽  
Author(s):  
Jiajia Li ◽  
Jie He ◽  
Ziyang Liu ◽  
Hao Zhang ◽  
Chen Zhang
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Safety Management ◽  
Depth Information ◽  
Highway Traffic ◽  
Safety Issues ◽  
C4.5 Algorithm ◽  
Accident Data ◽  
The Impact

At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to explore the impact of various factors on the accident. According to the degree of contribution of each variable to the classification effect of the model, various modes affecting the type of the accident are obtained and the overall prediction accuracy is about 80%.

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.

scholarly journals Quantitative and incidental analysis of road accidents No. (6) Section (1)

2017 ◽  
Vol 221 (2) ◽  
pp. 111-124
Author(s):  
Dr. Jamal Hamed Rashid Al Dulaimi
Keyword(s):  
Economic Activity ◽  
Road Network ◽  
Traffic Accidents ◽  
Research Study ◽  
Road Accidents ◽  
Geographic Factors ◽  
The Road ◽  
On The Road ◽  
The Impact ◽  
The Relationship

Spatial analysis of traffic accidents on the road to Baghdad - Cote d' Represent traffic accidents and the resulting human and material losses with significant implications for the national economy through the resulting from the steadily growing in accidents. The purpose of the preparation of this message, highlighting the importance of the road to Baghdad - Cote in between Baghdad and Khafezh Wasit and cons of accidents and the problems caused by the extent of their capacity to satisfy the need of users in the study area private towing General because this road is a product of the development in the study area , reaching Total length of road ( 172 / km) a reflection of the level of development and economic activity, which reached the region as well as the fact that this road is the basis for the implementation of many projects of economic and development across the two provinces and Iraq also aimed message to determine the extent of the impact of geographic factors positively and negatively on the network, in order to finding the relationship between the road as a phenomenon of geography and the surroundings of the elements of natural and human in its schedule, and the aim of this study was to determine the characteristics and features and follow the development dimensions of the road , and explore patterns in the light of the changes spatial in the  territory of the study and evaluation of geography as a reflection of the extent of its development economically and socially in the study area,In order to achieve these goals varied ways curriculum known followed by the researcher , in keeping with the nature of the topics in the course of the search, The study of traffic accidents on the road to Baghdad - Cote d' distribution and causes and effects that appear as a result of such incidents so contained study carries four chapters and ensure each chapter , including a number of detective first chapter three detectives , first , for example , use historical approach when pursuing the origins and evolution of roads and the second part the use of the curriculum fundamentalist , which dealt with geographical factors that have affected the road network , which turned out to be an impact and role in causing the accident and then in Section III of the research study of human factors and their impact on the way the study area and traffic accidents.                  

scholarly journals Subdivision of Urban Traffic Area Based on the Combination of Static Zoning and Dynamic Zoning

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Jing Luo ◽  
Qingnian Zhang
Keyword(s):  
Decision Making ◽  
Traffic Flow ◽  
Control Strategy ◽  
Road Network ◽  
Model Verification ◽  
Signal Control ◽  
The Road ◽  
Traffic Area ◽  
Center Point ◽  
Clustering Center

In this paper, the traffic area of subzone division in urban road network is studied and a subzone division method based on the combination of static partition and dynamic partition is proposed. The static partition is carried out for the road network when the traffic flow is in a noncongested state, so as to provide the decision-making basis for the traffic green wave signal control strategy. At the same time, aiming at the road network when the traffic flow is congested, the dynamic partition is carried out on the basis of static partition to provide the decision-making basis for the traffic maximum flow signal control strategy. In view of the fact that it is difficult to determine the clustering center point during the initial division, this method proposes to determine the clustering center point according to the value of nodes of betweenness centrality. In order to solve the problem that it is difficult to collect traffic data, a method for estimating traffic flow density is proposed. In order to solve the problem of normalization of different probability distribution among various parameters, Mahalanobis distance is used as the fusion index of subzone division. Model verification shows that the method is feasible and effective.

scholarly journals The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ji Eun Park ◽  
Wanhee Byun ◽  
Youngchan Kim ◽  
Hyeonjun Ahn ◽  
Doh Kyoum Shin
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Traffic Volume ◽  
Transport Systems ◽  
Automated Vehicles ◽  
Average Delay ◽  
The Road ◽  
Capacity Increase ◽  
Road Capacity ◽  
The Impact

Automated vehicles (AVs) are believed to have great potential to improve the traffic capacity and efficiency of the current transport systems. Despite positive findings of the impact of AVs on traffic flow and potential road capacity increase for highways, few studies have been performed regarding the impact of AVs on urban roads. Moreover, studies considering traffic volume increase with a mixture of AVs and human-driven vehicles (HDVs) have rarely been conducted. Therefore, this study investigated the impact of gradual increments of AV penetration and traffic volume on urban roads. The study adopted a microsimulation approach using VISSIM with a Wiedmann 74 model for car-following behavior. Parameters for AVs were set at the SAE level 4 of automation. A real road network was chosen for the simulation having 13 intersections in a total distance of 4.5 km. The road network had various numbers of lanes from a single lane to five lanes in one direction. The network consists of a main arterial road and a parallel road serving nearby commercial and residential blocks. In total, 36 scenarios were investigated by a combination of AV penetrations and an increase in traffic volumes. The study found that, as AV penetration increased, traffic flow also improved, with a reduction of the average delay time of up to 31%. Also, as expected, links with three or four lanes had a more significant impact on the delay. In terms of road capacity increase, when the penetration of AVs was saturated at 100%, the road network could accommodate 40% more traffic.

Analysis on Affection and Dissemination of Road Traffic Accidents

2012 ◽  
Vol 468-471 ◽  
pp. 200-203
Author(s):  
Han Xin Zhang
Keyword(s):  
Traffic Flow ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Integrated System ◽  
Effective Theory ◽  
Road Traffic Accidents ◽  
Road Traffic Safety ◽  
The Impact

Analysis for the road traffic accident is the dissemination of summary analysis of road traffic accidents, all types of traffic into the causes and recommends a system can reduce the effective theory of road traffic accidents. Road traffic system is a person, motor vehicles, the combined effect of the environment from the system. Road traffic safety depends on people, vehicles, roads, environment and road traffic management in all aspects of an integrated system for co-ordination. Characteristics for the occurrence of traffic accidents, road traffic accident on an analysis and research of the impact-spread of road traffic accident, to investigate the microscopic properties of a traffic accident on the traffic flow, emissions, noise impact and the dissemination of the law, analyzing the past, the scene of the accident the speed of other vehicles and drivers of the physical distribution psychological reaction to speed up the disposal of road traffic accidents, to reduce road traffic accidents on traffic flow and avoid the second derivative disasters, the elimination of road accident black spots, build a smart urban road traffic command system, to reduce pollutants in automobile exhaust emissions to protect the natural ecological environment, thus contributing to building a harmonious ecological city transport network.

scholarly journals Emission Variations of Primary Air Pollutants from Highway Vehicles and Implications during the COVID-19 Pandemic in Beijing, China

2021 ◽  
Vol 18 (8) ◽  
pp. 4019
Author(s):  
Xizi Cao ◽  
Ye Tian ◽  
Yan Shen ◽  
Tongran Wu ◽  
Renfei Li ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Air Pollutants ◽  
Road Traffic ◽  
Atmospheric Pollutants ◽  
Highway Traffic ◽  
Actual Structure ◽  
The Road ◽  
Passenger Vehicles ◽  
High Emission ◽  
The Impact

According to the traffic flow variation from January 2019 to August 2020, emissions of primary air pollutants from highway vehicles were calculated based on the emission factor method, which integrated the actual structure of on-road vehicles. The characteristics of on-highway traffic flow and pollution emissions were compared during various progression stages of coronavirus disease (COVID-19). The results showed that the average daily traffic volume decreased by 38.2% in 2020, with a decrease of 62% during the strict lockdown due to the impact of COVID-19. The daily emissions of primary atmospheric pollutants decreased by 29.2% in 2020 compared to the same period in 2019. As for the structure of on-highway vehicle types, the small and medium-sized passenger vehicles predominated, which accounted for 76.3% of traffic, while trucks and large passenger vehicles accounted for 19.7% and 4.0%, but contributed 58.4% and 33.9% of nitrogen oxide (NOx) emissions, respectively. According to the simulation results of the ADMS model, the average concentrations of NOx were reduced by 12.0 µg/m3 compared with the same period in 2019. As for the implication for future pollution control, it is necessary to further optimize the structure of on-highway and the road traffic vehicle types and increase the proportions of new-energy vehicles and vehicles with high emission standards.

ANALISIS PENGARUH PEMBANGUNAN JALAN LAYANG JANTI TERHADAP PERKEMBANGAN TATA RUANG KAWASAN JANTI STUDI KASUS : KAWASAN JANTI, DESA CATURTUNGGAL, KABUPATEN SLEMAN, D. I. YOGYAKARTA

2017 ◽  
Vol 11 (3) ◽  
pp. 255
Author(s):  
Jeky El Boru
Keyword(s):  
Road Network ◽  
Open Space ◽  
Qualitative Description ◽  
Analysis Method ◽  
Open Spaces ◽  
The Road ◽  
Before And After ◽  
Linkage Method ◽  
The Impact ◽  
Parking Place

Abstract: This research aims to analyze the impact of Janti Flyover Construction toward the growth of layout at Janti Urban Area, including structured space, open space, and linkage. Method used for data collecting are observation, air photograph monitoring, and interview, whereas the analysis method is qualitative description, which is the superimposed method of two layers, that are the layout condition before and after flyover construction. The result shows that the impact of Janti Flyover construction can be seen on building mass (solid), the increasing number of open spaces, including the road network, parking place, and park, whereas the relation between spaces, visually and structurally, can be seen on the growth of buildings which have new shapes and styles, therefore the performance of the overall building does not have a proportional shape. Considering Janti Street at the collective relation, its role is getting stronger as the main frame road network.Keywords: Flyover construction, layout changing, Janti AreaAbstrak: Penelitian ini bertujuan untuk menganalisis pengaruh pembangunan Jalan Layang Janti terhadap perkembangan tata ruang Kawasan Janti, meliputi ruang terbangun, ruang terbuka, serta hubungan antar ruang (“linkage”). Metode pengumpulan data dilakukan melalui observasi, pengamatan foto udara, dan wawancara; sedangkan metode analisis melalui deskripsi secara kualitatif yang berupa “superimposed method” dari dua lapisan kondisi lahan, yakni kondisi tata ruang sebelum dan sesudah pembangunan jalan layang. Hasil penelitian menunjukkan bahwa pengaruh pembangunan Jalan Layang Janti terdapat pada massa bangunan (“solid”), pertambahan ruang terbuka yang berupa jaringan jalan, parkir, dan taman; sedangkan pada hubungan antar ruang ̶ secara visual dan struktural ̶ yakni tumbuhnya bangunan dengan bentuk dan gaya baru, sehingga bentuk tampilan bangunan secara keseluruhan tidak proporsional. Pada hubungan kolektif, Jalan Janti semakin kuat perannya sebagai kerangka utama jaringan jalan.Kata kunci : Pembangunan jalan layang, tata ruang, Kawasan Janti

A Kalman filtering fuzzy logic algorithm for recognition of lane departure

2021 ◽  
pp. 1-8
Author(s):  
Kai Ren
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Kalman Filtering ◽  
Traffic Accidents ◽  
Region Of Interest ◽  
Fuzzy Logic Algorithm ◽  
The Road ◽  
Departure Decision ◽  
Lane Departure ◽  
Fusion Analysis

In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment.

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