scholarly journals Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Juan Bao ◽  
Wei Chen ◽  
Zhengtao Xiang ◽  
Yufeng Chen ◽  
Yishui Shui
Keyword(s):  
Cellular Automata ◽  
Early Warning ◽  
Traffic Accidents ◽  
Road Density ◽  
Accident Rate ◽  
Effect Analysis ◽  
Cellular Automata Model ◽  
Internet Of Vehicles ◽  
The Road ◽  
Abandoned Object

An early warning on the highway will effectively reduce traffic accidents. Considering the influence of an abandoned object on driving behavior, a Visual-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (V-ATCA-AO) and an Internet-of-Vehicles-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (IoV-ATCA-AO) are proposed. Based on the two models, two types of traffic accidents caused by an abandoned object are analyzed: rear-end collision caused by the abandoned object ahead and collision of the vehicle with the abandoned object. Simulation results show the following: (1) the accidents occur when the road density is smaller, while the accidents will not occur when the density is larger. The results are different from the rear-end collision rate curve without abandoned object in a single lane. (2) Compared with the visual-based avoidance pattern in V-ATCA-AO, the Internet-of-Vehicles-based avoidance pattern in IoV-ATCA-AO can create an early warning for the abandoned object and tell the vehicle to make an earlier lane change and decelerate in advance, thereby significantly reducing the accident rate. (3) Spatiotemporal characteristics in front of the abandoned object directly affect the accident rate: the less the “stability” of a traffic jam in front of the abandoned object, the higher the accident rate.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

Study on the Traffic Capacity of Expressway Based on Cellular Automata Model

2014 ◽  
Vol 701-702 ◽  
pp. 172-179
Author(s):  
Xiao Dong Xia ◽  
Lin Ling Xu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Heavy Traffic ◽  
Accident Rate ◽  
Cellular Automata Model ◽  
Traffic Capacity ◽  
Low Load ◽  
The Right ◽  
The Relationship ◽  
Shape Changes

Based on the Nagel-Schrekenberg cellular automaton model of traffic flow, this article analyzed the influence that driving on the right side takes to the traffic flow in the condition of light and heavy traffic. With the combination of fluid dynamics and vehicle dynamics, we established the Cellular Automata model for mixed speed two-lane traffic flow on the rule driving on the right side. Then we used the AHP method to find out the large bus share rate, the number of vehicles changing lanes and the influence law of safety factors on traffic flow. We came to a conclusion that the relationship between traffic flow and load are inverted U shape changes in the low load and high load conditions, the accident rate is the maximum when the V/C (the ratio of traffic flow and the ability of corresponding section) is the minimum; with the increase of V/C, the accident rate decreased gradually.

scholarly journals Impact 0f Prosecution Against Infringement Ticketing with Numbers Traffic Accidents in The Jurisdiction of Police Resort Semarang

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rudi Hendri Basuki ◽  
Umar Ma�ruf
Keyword(s):  
Government Regulation ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Enforcement ◽  
Accident Rate ◽  
The Road ◽  
Vehicle Inspection ◽  
Traffic Violations ◽  
On The Road ◽  
The Impact

This study aims to determine how is the implementation of the action by infringing traffic by a speeding ticket in the jurisdiction of Police in Semarang; How can the impact of infringing on a traffic enforcement with a ticket to the number of traffic accidents in the jurisdiction of Police in Semarang; and What constraints in action by infringing traffic by a speeding ticket in the jurisdiction of Semarang Police and how the solutions to overcome them.The method used by the author in this study is juridical empirical or sociological jurisdiction. Specifications of research used is descriptive analyticalBased on research conducted can be concluded that 1) Implementation of Traffic Violations Enforcement accordance with Government Regulation on Infringement Ticketing Act No. 80 Of 2012 on Procedures for� Vehicle Inspection and Enforcement Violations On the Road Traffic and Transportation Article 3, which reads� Vehicle Inspection; 2) The results in January to September 2018 is known that the impact of a speeding ticket to a very significant definitely one transport accident means the higher the number the lower the accident rate speeding ticket, speeding ticket conversely the lower the number the higher the number of accidents; and 3) Constraints in the prosecution of traffic violations by a speeding ticket in the jurisdiction of Semarang Police isThe lack of legal awareness in the society, lack of ability by the Police Authority problematic legislation, the lack of infrastructure to supportKeywords: Impact; Infringement; Traffic; Infringement Ticketing; Accident.

ANALYSIS AND RESULTS OF MEASURES TO ENSURE ROAD SAFETY IN UKRAINE FOR THE PERIOD

2021 ◽  
Vol 2021 (24) ◽  
pp. 134-148
Author(s):  
Evgen Minenko ◽  
◽  
Olexandr Pyna ◽  
Olga Belenchuk ◽  
Tetyana Bondar ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Statistical Processing ◽  
Accident Rate ◽  
Systematic Analysis ◽  
The Public ◽  
The Road ◽  
Rate Analysis

Introduction. Undesirable consequences of fast increase of the vehicle fleet are an increase in the level of accident rate and the number of deaths and injuries in traffic accidents (hereinafter accidents). The positive experience of other countries shows that objectives indicators for reducing the number of traffic accident victims by implementing reasonable measures to eliminate the dominant causes of accidents is the most effective way to achieve the desired result in improving traffic safety. Problem statement. Considering the enormous economic lost caused by traffic accidents, improving of traffic safety has been a priority in the policies of many countries around the world in recent decades. In this regard, the international community pays considerable attention to the development of targeted programs and implementation of traffic safety measures directed at preventing the road traffic injuries. In particular, on March 2, 2010, the UN General Assembly adopted Resolution No. 64/255 «Improving Traffic Safety Worldwide», which proclaimed the 2011–2020 «Decade of Traffic Safety Actions» to reduce deaths from injuries sustained as a result of traffic accident — by 50%. Ukraine, through which seven international transport corridors run [1], did not stay away from solving the common problem and joined in 2011 to the UN initiative regarding reducing the death rate due to traffic accidents by at least 30 % [2]. For evaluation of the achieved result, it is important to analyze the accident statistics and determine whether the planned results were achieved through the implementation of planned measures to improve traffic safety. Purpose. The article considers the dynamics of accident rate and the number of traffic accidents victims in Ukraine for the period 2011–2020, as well as analyzes the main causes of traffic accidents on the public roads, including roads of state importance, to evaluate the outcome of the Decade of Traffic Safety Actions and providing the recommendations for further decreasing of mortality on domestic roads. Materials and methods. The study used the method of statistical processing of data on the number of accidents and their victims in Ukraine and the method of systematic analysis of risk factors that contributed to the accidents. Results. It is determined that the total number of fatalities in traffic accidents for the period 2011–2020 decreased in Ukraine by 27.8 %, and on the public roads — by 44.0 %. However, considering that since 2014 there are no data on traffic accidents in Autonomous Republic of Crimea and partly in Donetsk and Luhansk regions, the indicator of decreasing of deaths per 100 traffic accidents and the result shows more modest achievements: in Ukraine it was possible to reduce deaths by 100 traffic accidents per 100 14 %, and on the public roads — only 5.4 %. Conclusions. Accident rate analysis provides an information basis for understanding the scale of the problem of traffic injuries, evaluating the results of implemented measures to improve traffic safety, the dynamics of positive or negative developments, and allows to plan reasonably the measures to improve road conditions to reduce mortality on roads.

scholarly journals Accident Analysis Due To The Condition Of Transportation Infrastructure In Surabaya

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
A Wahab Sholeh A.S ◽  
Atik Wahyuni
Keyword(s):  
Traffic Accidents ◽  
Black Spot ◽  
Road User ◽  
Accident Analysis ◽  
Accident Rate ◽  
The Road ◽  
Spot Area ◽  
Road Users ◽  
Rate Method ◽  
On The Road

The city of Surabaya is one of the major cities in Indonesia and is the capital of East Java Province, with a total population of 2,765,487 based on the Surabaya City Statistics Center 2018. With increasing population, ownership of private vehicles and activities on the highway will also increase. more dense and certainly can cause traffic accidents. The purpose of this research was to find out the characteristics of road users and the effect of the level of accidents on the road Dr. Ir. H. Soekarno Surabaya. The factors reviewed from this study are the characteristics of road users based on Age, Profession, Driver Factors, Vehicle Factors and Road Infrastructure Factors. To find out whether Dr. Ir. H. Soekarno is a road with a Black Spot area, so the Accident Rate method is used for this study to determine the accident rate based on the Black Spot area. From the results of accident analysis based on the characteristics of the road user Dr. Ir. H. Soekarno, the highest factor as the main cause of traffic accidents is caused by Drivers with speeding conditions and vulnerable drivers aged 16-30 years. And based on the accident rate method get the highest yield of 12.74 accidents / km. Year and included in the black spot area with an accident rate >1.0. The number of traffic violations and traffic accident victims on the road Dr. Ir. H. Soekarno during 2018 there were 61 traffic accidents which resulted in 7 casualties died, 7 accident victims suffered serious injuries and 73 accident victims suffered minor injuries.

scholarly journals THE INFLUENCE OF SPEEDING ON MOTORBIKE RIDERS ON MEDAN

2019 ◽  
Vol 2 (3) ◽  
pp. 196
Author(s):  
Irmawati Irmawati ◽  
Meutia Nauly ◽  
Muhammad Ridwan Anas
Keyword(s):  
Traffic Accidents ◽  
Large City ◽  
Subjective Norms ◽  
Attitudes And Beliefs ◽  
Mixed Design ◽  
Accident Rate ◽  
Research Participants ◽  
The Road ◽  
Behavioral Studies ◽  
On Line

Based on data and previous studies on the condition of the city of Medan. As a large city and the high accident rate. The purpose of this study is to study the effect of speed as a factor in the causes of traffic accidents. Which is related to the behavior of drivers in terrain cities, especially on national road sections with a specification's minimum 4/2 D. The location studied in six road sections that are considered to represent 14 road segments in accordance with the scope of the study area, namely the road (1) Jalan Industri, (2) Jalan Gagak Hitam, (3) Jalan Ngumban Surbakti, (4) Jalan Sisingamangaraja, (5) Jalan. Yos Sudarso, (6) Jalan A.H. Nasution. The analysis uses a t-test for a comparative test. Behavioral studies use a mixed design approach that is carried out in parallel, through FGD and on-line surveys (N = 200) using a scale that measures attitudes, beliefs, subjective norms of people around the driver, perceptions of the risk of speeding behavior and demographic questions. The results of the study show that there is an influence of the average speed of roads at the accident rate of national roads. The attitudes and beliefs of research participants tended to be opposed to 'speeding' behavior. Subjective norms of people around the driver as well as showed negative attitudes. Research participants also display high-impact perceptions of the likelihood of accidents caused by their 'speeding' behavior. Based on the regression analysis, it can be concluded that there is a meaningful relationship between participants' attitudes towards' speeding 'and subjective norms (attitudes and beliefs of the surrounding environment towards' speeding'. Berdasarkan data dan kajian sebelumnya mengenai kondisi kota Medan sebagai kota besar dan tingkat kecelakaan yang termasuk tinggi, maka tujuan dari penelitian ini adalah melakukan kajian pengaruh kecepatan sebagai faktor penyebab kecelakaan lalu lintas,  yang terkait denganperilaku pengemudi di kota medan khususnya pada ruas jalan nasional dengan spesifikasi minimal 4/2 D. Lokasi yang diteliti merupakan 6 ruas jalan yang dianggap mewakili 14 ruas jalan sesuai dengan lingkup wilayah studi, yakni  (1) Jalan Industri, (2) Jalan Gagak Hitam, (3) Jalan Ngumban Surbakti, (4) Jalan Sisingamangaraja, (5) Jalan.  Yos sudarso, dan (6) Jalan A.H. Nasution. Analisis menggunakan t tes untuk uji banding. Kajian perilaku menggunakan pendekatan mixed design yang dilakukan secara paralel, melalui FGD dan survey on line (N=200) dengan survey on line menggunakan skala yang mengukur sikap, belief, norma subyektif dari orang-orang di sekitar pengendara, persepsi terhadap resiko perilaku speeding dan pertanyaan demografik. Hasil studi menunjukkan terdapat pengaruh kecepatan rata-rata ruas jalan terhadap tingkat kecelakaan ruas-ruas jalan nasional. Sikap dan belief partisipan penelitian cenderung negatif terhadap perilaku 'speeding', norma subyektif orang-orang di sekitar pengendara juga menunjukkan sikap yang negatif. partisipan penelitian juga menampilkan persepsi yang mengarh ke tingggi terhadap kemungkinan kecelakaan yang diakibatkan oleh perilaku 'speeding' yang mereka lakukan. Bedasarkan analisis regresi diperoleh kesimpulan bahwa ada hubugnan yang berarti antara sikap partisipan terhadap 'speeding' dengan norma subyektif (sikap dan belief dari lingkungan sekitar terhadap 'speeding'.

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