scholarly journals The Development of Data Warehouse to Support Data Mining Technique for Traffic Accident Prediction

2018 ◽  
Vol 73 ◽  
pp. 12007
Author(s):  
Budiawan Wiwik ◽  
Singgih Saptadi ◽  
Ary Arvianto
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Data Access ◽  
Design Data ◽  
Accident Prediction ◽  
The World

Traffic accidents are one of the major health problems that cause serious death in the world and ranks 9th in the world. Traffic accidents in Indonesia ranks 5th in the world. One effort to improve traffic safety is to design traffic accident prediction models. Prediction models will utilize accident-related data in traffic through data mining processing. The data warehouse offers benefits as a basis for data mining. Building an effective data warehouse requires knowledge and attention to key issues in database design, data acquisition and processing, as well as data access and security. This study is the first step in the development of data mining accidents based prediction system. The output of this initial stage is the design of data warehouses that can provide periodic and incidental data to the data mining process, especially in the prediction of accidents. The method used to design data warehouse is Entity Relationship Diagram (ERD).

scholarly journals Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

2016 ◽  
Vol 28 (4) ◽  
pp. 415-424 ◽  
Author(s):  
Draženko Glavić ◽  
Miloš Mladenović ◽  
Aleksandar Stevanovic ◽  
Vladan Tubić ◽  
Marina Milenković ◽  
...  
Keyword(s):  
Multivariate Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Future Research ◽  
Practical Application ◽  
Accident Prediction ◽  
Accident Data ◽  
Road Characteristics ◽  
The Relationship

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

scholarly journals Study on the influence of skid resistance on traffic safety of highway with a high ratio of bridges and tunnels

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Yongjie Ding ◽  
Danni Li ◽  
Mingxuan Huang ◽  
Xuejuan Cao ◽  
Boming Tang
Keyword(s):  
Correlation Analysis ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Back Propagation ◽  
Weather Conditions ◽  
High Ratio ◽  
Skid Resistance ◽  
The Relationship

ABSTRACT The safety of highways with a high ratio of bridges and tunnels is related to multiple factors, for example, the skid resistance of the pavement surface. In this study, the distribution of accidents under different conditions was calculated to investigate the relationship between the road skid resistance and the incidence of traffic accidents based on the traffic accident data of the Yuxiang highway. Statistical results show that weather conditions and road alignment may affect traffic accidents. The correlation analysis method was used to study the relationship between three factors and traffic accidents. The results show that road alignment, weather conditions and road skid resistance are related to the incidence of traffic accidents. The traffic accident prediction models were established based on back propagation neural network to verify the correlation analysis results. It is confirmed that road alignment, weather conditions and road skid resistance are the factors that affect traffic accidents.

scholarly journals Traffic Accident Prediction Based on LSTM-GBRT Model

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Zhihao Zhang ◽  
Wenzhong Yang ◽  
Silamu Wushour
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Short Term Memory ◽  
Road Traffic ◽  
Boosted Regression Trees ◽  
Safety Level ◽  
Accident Prediction ◽  
Road Traffic Safety

Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy. In order to provide traffic management departments with more accurate forecast data, it can be applied in the traffic management system to help make scientific decisions. This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. Compared with various regression models and neural network models, the experimental results show that the LSTM-GBRT model has a good fitting effect and robustness. The LSTM-GBRT model can accurately predict the safety level of traffic accidents, so that the traffic management department can better grasp the situation of traffic safety levels.

scholarly journals The Typical Traffic Accident in Lithuania In Comparison with Sweden

2020 ◽  
Vol 15 (3) ◽  
pp. 60-73
Author(s):  
Rasa Ušpalytė-Vitkūnienė ◽  
Aliaksei Laureshyn
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
New Technologies ◽  
Road Accident ◽  
Important Goal ◽  
Left Behind ◽  
Road Users ◽  
The World ◽  
The Eu

Every day we strive to improve the environment and make it as comfortable as possible, creating new products and new technologies that are literally changing people’s lives. Transport is one of the most important engines of development in the world and, unfortunately, it is one of the most painful taking into account how many people’s lives we are losing in it. Ensuring safe traffic, stabilizing a number of accidents, reducing accidents on motor roads and streets are the most important tasks in the field of transport in Lithuania and the EU today. Lithuania could not be left behind when the EU countries pursued an important goal of halving the number of fatalities by the end of 2010 compared to 2001. Substantial road accident rates are recorded in cities with the highest concentration of road users. The aim of this article is to identify the typical accidents for Lithuanian cities and to compare them with the case of Sweden, which is one of the leading countries in the field of traffic safety. The five largest cities in Lithuania been selected for the analysis, where typical traffic accidents are identified. The analysis will help develop recommendations for changes in traffic infrastructure to ensure safe traffic.

Traffic accident and emission reduction through intermittent release measures for heavy fog weather

2015 ◽  
Vol 29 (25) ◽  
pp. 1550148 ◽  
Author(s):  
Jing Shi ◽  
Jin-Hua Tan
Keyword(s):  
Traffic Safety ◽  
Emission Reduction ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Emission Characteristics ◽  
Driving Behaviors ◽  
Ca Model ◽  
Reduce Emissions

Heavy fog weather can increase traffic accidents and lead to freeway closures which result in delays. This paper aims at exploring traffic accident and emission characteristics in heavy fog, as well as freeway intermittent release measures for heavy fog weather. A driving simulator experiment is conducted for obtaining driving behaviors in heavy fog. By proposing a multi-cell cellular automaton (CA) model based on the experimental data, the role of intermittent release measures on the reduction of traffic accidents and CO emissions is studied. The results show that, affected by heavy fog, when cellular occupancy [Formula: see text], the probability of traffic accidents is much higher; and CO emissions increase significantly when [Formula: see text]. After an intermittent release measure is applied, the probability of traffic accidents and level of CO emissions become reasonable. Obviously, the measure can enhance traffic safety and reduce emissions.

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.

scholarly journals ESTIMATION OF THE TRAFFIC ACCIDENTS COSTS IN SERBIA BY USING DOMINANT COSTS MODEL

Transport ◽  
2012 ◽  
Vol 26 (4) ◽  
pp. 433-440 ◽  
Author(s):  
Boris Antić ◽  
Milan Vujanić ◽  
Krsto Lipovac ◽  
Dalibor Pešić
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Economic Effects ◽  
Decision Makers ◽  
Gdp Per Capita ◽  
Crucial Importance ◽  
Per Capita ◽  
The Republic ◽  
Official Data

This paper presents estimation of the traffic accident costs in Serbia, based on original dominant costs model. Dominant costs model uses human capital approach and this model is developed for simple and quick calculation of the traffic accidents costs, because other simple methods as 1 million rules, are not suitable for estimation of the traffic accident costs in the countries with a low GDP per capita. Knowing the costs of traffic accidents is of crucial importance for establishing traffic safety to the level defined by the size of costs made as a consequence of unsafely. So, politicians, decision makers and stakeholders in the field of traffic safety often need quick estimation of the traffic accident costs and economic effects of the particular measures which are applied for decreasing the number and severity of traffic accidents. The estimation of the level of the traffic accidents costs in Serbia, based on the official data (from the Ministry of Interior of the Republic of Serbia) about traffic accidents in Serbia for 2008 is shown in this paper and the comparison between predicted and calculated value of the traffic accident costs for 2009 is also presented.

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 PENENTUAN BIAYA KECELAKAAN LALU LINTAS: STUDI KASUS LOMBOK TIMUR

2018 ◽  
Vol 1 (3) ◽  
pp. 128
Author(s):  
Andyka Kusuma ◽  
Tri Tjahjono ◽  
Nuzul Achjar
Keyword(s):  
Traffic Safety ◽  
Human Development Index ◽  
Traffic Accident ◽  
Analytical Approach ◽  
Traffic Accidents ◽  
Price Index ◽  
Consumer Price Index ◽  
Potential Losses ◽  
The Cost ◽  
The City

Traffic accident cost analysis is needed to predict potential losses of nation due to the emergence of traffic accident victims. The cost of traffic accidents in Indonesia is based on the characteristics of the City of Bandung in 2003, and it is shown that the cost of traffic accidents can vary according to regional characteristics. This study tries to compare the analytical approach in Bandung in 2003 with the Consumer Price Index and Human Development Index approaches for an area with medium accessibility, namely East Lombok, West Nusa Tenggara Province. The location of traffic accidents greatly influences the cost of traffic accidents, because the costs on inter-city roads are relatively higher compared to those on roads in the city. This study shows that the cost of traffic accidents is related to accessibility of health facilities. This analysis can be developed for all regions in Indonesia, so that it can be used as a reference for traffic stakeholders in assessing the performance of the traffic safety programs implemented. Analisis biaya kecelakaan lalu lintas diperlukan untuk memprediksi potensi kerugian negara akibat timbulnya korban kecelakaan lalu lintas. Biaya kecelakaan lalu lintas di Indonesia dibangun berdasarkan karakteristik kota Bandung tahun 2003, dan diperlihatkan bahwa biaya kecelakaan lalu lintas dapat bervariasi sesuai dengan karakteristik wilayah. Penelitian ini mencoba membandingkan pendekatan analisis di Bandung tahun 2003 dengan pendekatan Indeks Harga Konsumen dan Indeks Pembangunan Manusia untuk suatu wilayah dengan aksesibilitas menengah, yakni Lombok Timur, Provinsi Nusa Tenggara Barat. Lokasi kecelakaan lalu lintas sangat mempengaruhi biaya kecelakaan lalu lintas, karena biaya di jalan antar kota relatif lebih tinggi dibandingkan dengan biaya di jalan dalam kota. Penelitian ini meperlihatkan bahwa biaya kecelakaan lalu lintas terkait dengan aksesibilitas fasilitas kesehatan. Analisis ini dapat dikembangkan untuk semua wilayah di Indonesia, sehingga dapat dijadikan acuan bagi pemangku kepentingan lalu lintas dalam menilai kinerja program keselamatan lalu lintas yang dijalankan.

scholarly journals HUBUNGAN ANTARA KEPEMILIKAN SIM C DAN KEIKUTSERTAAN DALAM TES PEMBUATAN SIM DENGAN PENGETAHUAN BERKENDARA DAN KECELAKAAN LALU LINTAS DI KABUPATEN SIDOARJO

2018 ◽  
Vol 12 (2) ◽  
pp. 167 ◽  
Author(s):  
Fadilah Andy Nastiti
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Cross Sectional Study ◽  
School Students ◽  
Chi Square ◽  
Cross Sectional ◽  
Middle Income ◽  
Exact Test ◽  
Driving License ◽  
The World

Traffic accidents are one of the biggest causes of death in the world. WHO states that 90% of deaths that caused by traffic accident in the world occur in low and middle income countries. Indonesia is ranked first with the highest percentage of deaths that caused by traffic accident in Asia. Most t raffic accidents involve motorcyclist with an average age of 15–29 years old. The purpose of this study is to determine the correlation between ownership of driving license and participation in driving license tests with driving k nowledge and t raffic accidents in h igh school students of Xi grade in Kabupaten Sidoarjo in 2017. This research was an observational analytic with cross sectional study design. The population of this study was all senior h igh school students of XI grade in Kabupaten Sidoarjo in 2017. The number of respondents was 204 students that drawn from the population by using two stage cluster random sampling method. Results of analysis using chi square and fisher’s exact test (α = 5%) indicate that the ownership of driving license (p = 0.259; RR 1.533) and participation in driving license test (p = 1.00; RR 0.586) did not have correlation with t raffic accidents in h igh school students of XI grade in Kabupaten Sidoarjo in 2017 and the ownership of driving license (p = 1.00; RR 1.008) and participation in driving license test (p = 1,00; RR 0.983) did not have correlation too with driving k nowledge in h igh school students of XI grades in Kabupaten Sidoarjo in 2017.

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