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Articoli di riviste sul tema "Traffic accidents Mathematical models"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 31 gennaio 2023

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1

MOUSSA, NAJEM. "SIMULATION STUDY OF TRAFFIC ACCIDENTS IN BIDIRECTIONAL TRAFFIC MODELS." International Journal of Modern Physics C 21, no. 12 (December 2010): 1501–15. http://dx.doi.org/10.1142/s0129183110016007.

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Conditions for the occurrence of bidirectional collisions are developed based on the Simon–Gutowitz bidirectional traffic model. Three types of dangerous situations can occur in this model. We analyze those corresponding to head-on collision; rear-end collision and lane-changing collision. Using Monte Carlo simulations, we compute the probability of the occurrence of these collisions for different values of the oncoming cars' density. It is found that the risk of collisions is important when the density of cars in one lane is small and that of the other lane is high enough. The influence of di

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2

Sysoev, Anton, Vladimir Klyavin, Alexandra Dvurechenskaya, Albert Mamedov, and Vladislav Shushunov. "Applying Machine Learning Methods and Models to Explore the Structure of Traffic Accident Data." Computation 10, no. 4 (March 31, 2022): 57. http://dx.doi.org/10.3390/computation10040057.

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The problem of reducing the increasing number of road traffic accidents has become more relevant in recent years. According to the United Nations plan this number has to be halved by 2030. A very effective way to handle it is to apply the machine learning paradigm to retrospective road traffic accident datasets. This case study applies machine learning techniques to form typical “portraits” of drivers violating road traffic rules by clustering available data into seven homogeneous groups. The obtained results can be used in forming effective marketing campaigns for different target groups. Ano

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3

Planić, Jovana. "Defining risks on road sections during the transport of dangerous goods in the Serbian army using the linear mathematical programming model." Vojnotehnicki glasnik 70, no. 4 (2022): 939–71. http://dx.doi.org/10.5937/vojtehg70-36071.

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Introduction/purpose: The paper presents a model for the selection of a route for the transport of dangerous goods using DEA (Data Envelopment Analysis) models and fuzzy logic systems. The presented model is used to define the risk on road sections during the transport of dangerous goods as well as to select the optimal route for the realization of the transport task. Methods: The model consists of two phases. The first phase includes the application of DEA models in which formed input and output models are connected in the output DEA final form which shows routes with a satisfactory level of

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4

Droj, Gabriela, Laurențiu Droj, and Ana-Cornelia Badea. "GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning." ISPRS International Journal of Geo-Information 11, no. 1 (December 30, 2021): 16. http://dx.doi.org/10.3390/ijgi11010016.

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Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It i

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5

Budzyński, Marcin, Kazimierz Jamroz, Łukasz Jeliński, and Anna Gobis. "The Effects of Roadside Hazards on Road Accident Severity." Journal of KONBiN 49, no. 2 (June 1, 2019): 319–39. http://dx.doi.org/10.2478/jok-2019-0038.

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Abstract The risk of becoming involved in an accident emerges when elements of the transport system do not operate properly (man – vehicle – road – roadside). The road, its traffic layout and safety equipment have a critical impact on road user safety. This gives infrastructural work a priority in road safety strategies and programmes. Run-off-road accidents continue to be one of the biggest problems of road safety with consequences including vehicle roll-over or hitting a roadside object. This type of incident represents more than 20% of rural accidents and about 18% of all road deaths in Pol

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6

TSENG, JIE-JUN, MING-JER LEE, and SAI-PING LI. "HEAVY-TAILED DISTRIBUTIONS IN FATAL TRAFFIC ACCIDENTS: ROLE OF HUMAN ACTIVITIES." International Journal of Modern Physics C 20, no. 08 (August 2009): 1281–90. http://dx.doi.org/10.1142/s0129183109014345.

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Human activities can play a crucial role in the statistical properties of observables in many complex systems such as social, technological, and economic systems. We demonstrate this by looking into the heavy-tailed distributions of observables in fatal plane and car accidents. Their origin is examined and can be understood as stochastic processes that are related to human activities. Simple mathematical models are proposed to illustrate such processes and compared with empirical results obtained from existing databanks.

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7

Najafi Moghaddam Gilani, Vahid, Seyed Mohsen Hosseinian, Meisam Ghasedi, and Mohammad Nikookar. "Data-Driven Urban Traffic Accident Analysis and Prediction Using Logit and Machine Learning-Based Pattern Recognition Models." Mathematical Problems in Engineering 2021 (May 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/9974219.

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Modeling the severity of accidents based on the most effective variables accounts for developing a high-precision model presenting the possibility of occurrence of each category of future accidents, and it could be utilized to prioritize the corrective measures for authorities. The purpose of this study is to identify the variables affecting the severity of the injury, fatal, and property damage only (PDO) accidents in Rasht city by collecting information on urban accidents from March 2019 to March 2020. In this regard, the multiple logistic regression and the pattern recognition type of artif

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8

Borucka, Anna, Edward Kozłowski, Piotr Oleszczuk, and Andrzej Świderski. "Predictive analysis of the impact of the time of day on road accidents in Poland." Open Engineering 11, no. 1 (December 12, 2020): 142–50. http://dx.doi.org/10.1515/eng-2021-0017.

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AbstractThe steady increase in the number of road users and their growing mobility mean that the issue of road safety is still a topical one. Analyses of factors influencing the number of road traffic accidents contribute to the improvement of road safety. Because changes in traffic volume follow a daily rhythm, hour of the day is an important factor affecting the number of crashes. The present article identifies selected mathematical models which can be used to describe the number of road traffic accidents as a function of the time of their occurrence during the day. The study of the seasonal

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9

Göttlich, Simone, and Thomas Schillinger. "Microscopic and macroscopic traffic flow models including random accidents." Communications in Mathematical Sciences 19, no. 6 (2021): 1579–609. http://dx.doi.org/10.4310/cms.2021.v19.n6.a6.

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10

Zong, Fang, Huiyong Zhang, Hongguo Xu, Xiumei Zhu, and Lu Wang. "Predicting Severity and Duration of Road Traffic Accident." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/547904.

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This paper presents a model system to predict severity and duration of traffic accidents by employing Ordered Probit model and Hazard model, respectively. The models are estimated using traffic accident data collected in Jilin province, China, in 2010. With the developed models, three severity indicators, namely, number of fatalities, number of injuries, and property damage, as well as accident duration, are predicted, and the important influences of related variables are identified. The results indicate that the goodness-of-fit of Ordered Probit model is higher than that of SVC model in sever

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11

Wang, Si Shuan. "Mathematical Modeling is Occupied Lane Road Access to the City 's Ability to Influence when the Accident." Advanced Materials Research 971-973 (June 2014): 2107–10. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.2107.

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With the development of cities, the traffic problem is getting attention , including a wide variety of lane blocking traffic problem is one of the major problems , such as car accidents , construction and other Jeeves , Jeeves research questions have lane is occupied impact on urban road capacity help science to solve these problems , this study had an accident when two easy-to-understand model to solve the problem in question . For question one and question two , we established a model of the actual capacity will be standardized different vehicles , and statistics in the video pcu amount of d

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Ma, Lu, and Xuedong Yan. "Assessing Traffic Accident Occurrence of Road Segments through an Optimized Decision Rule." Mathematical Problems in Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/592626.

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Statistical models for estimating the safety status of transportation facilities have received great attention in the last two decades. These models also perform an important role in transportation safety planning as well as diagnoses of locations with high accident risks. However, the current methods largely rely on regression analyses and therefore they could ignore the multicollinearity characteristics of factors, which may provide additional information for enhancing the performance of forecasting models. This study seeks to develop more precise models for forecasting safety status as well

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13

Cheng, Rui, Ye Pan, and Lian Xie. "Analysis of Vehicle-Pedestrian Accident Risk Based on Simulation Experiments." Mathematical Problems in Engineering 2022 (August 29, 2022): 1–14. http://dx.doi.org/10.1155/2022/7891232.

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Vehicle-pedestrian accidents are one of the main types of road traffic accidents in China because of their mixed traffic features. By analyzing the characteristics of vehicle-pedestrian accidents, the head injury criterion (HIC) was selected as a quantitative index of pedestrian head injury risk, and vehicle-pedestrian collision simulation tests were carried out using PC-Crash. From the collected test data, the multivariate relationship models between the HIC, vehicle speed, and collision angle were fitted for different vehicle types. A risk assessment method for vehicle-pedestrian accidents b

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14

Povalyaev, S., and O. Saraiev. "MODELING OF THE MECHANISM OF VEHICLE OVERTURNING IN THE PROCESS OF DEVELOPMENT OF ROAD TRAFFIC ACCIDENT." Theory and Practice of Forensic Science and Criminalistics 20, no. 2 (December 4, 2019): 320–28. http://dx.doi.org/10.32353/khrife.2.2019.24.

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The development of mathematical models of vehicle overturning has been given significant attention by many researchers because of the need to obtain reliable information on the circumstances of road traffic accidents. Research of road traffic accidents with the overturning of vehicles is related with the difficulty to determinate the mechanism of overturning, because expert calculation methods do not always use the adapted mathematical models. Most of the methods focus on determining the minimum (critical) speed of vehicles, which leads to its overturning. However, the real speed of vehicles b

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15

Subotić, Marko, Nemanja Stepanović, Vladan Tubić, Edis Softić, and Mouhamed Bayane Bouraima. "Models of Analysis of Credible Deviation from Speed Limits on Two-Lane Roads of Bosnia and Herzegovina." Complexity 2022 (October 7, 2022): 1–13. http://dx.doi.org/10.1155/2022/2832175.

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Any deviation of speed in a traffic flow from a speed limit represents a potential risk of traffic accidents, so speed management appears as an imperative. However, an inadequately set speed limit often causes drivers’ noncompliance to it in the conditions of real traffic flow. By determining the value of exceeding the speed limit according to vehicle classes, it is possible to recommend a credible speeding value that can be considered credible up to a value above the speed limit. In this paper, deterministic multistep mathematical models of speed deviation from the speed limit as a function o

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16

MOUSSA, NAJEM. "DANGEROUS SITUATIONS IN TWO-LANE TRAFFIC FLOW MODELS." International Journal of Modern Physics C 16, no. 07 (July 2005): 1133–48. http://dx.doi.org/10.1142/s0129183105007790.

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This paper investigates the probability of car accidents (PCA) in two-lane traffic flow models. We introduce new conditions for the occurrence of dangerous situations (DS) caused by an unexpected lane changing vehicles. Two different lane changing rules are considered, say symmetric and asymmetric. For the symmetric rules, we investigate the influence of the Nagel–Schreckenberg parameters such as the maximal speed, the randomization probability, …, on the PCA when vehicle moves forward or changes lanes. It is found that the forward PCA is as likely as that in one-lane traffic model. As regards

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17

Jabłonka, Jarosław. "The analysis of exigencies of priority of crossing at intersections from the game theory's point of view." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (September 7, 2018): 110–14. http://dx.doi.org/10.24136/atest.2018.047.

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The assumption that each road participant adheres to the rules, ideally adapts his behavior to the prevailing road conditions, is unrealistic, and as the basis for taking action can lead to collisions and accidents. The article presents the theoretical models allowing to understand the behavior of drivers who deliberately enforce the priority of passing, and their only motivation is the shortest travel time through the intersection. Two types of situations at crossroads are considered: with guided and non-guided traffic with the STOP sign. The presented mathematical models are illustrated by t

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18

Ding, Huizhe, Raja Ariffin Raja Ghazilla, Ramesh Singh Kuldip Singh, and Lina Wei. "Vehicle Driving Risk Prediction Model by Reverse Artificial Intelligence Neural Network." Computational Intelligence and Neuroscience 2022 (October 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/3100509.

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The popularity of private cars has brought great convenience to citizens’ travel. However, the number of private cars in society is increasing yearly, and the traffic pressure on the road is also increasing. The number of traffic accidents is increasing yearly, and the vast majority are caused by small private cars. Therefore, it is necessary to improve the traffic safety awareness of drivers and help car manufacturers to design traffic risk prediction systems. The Backpropagation neural network (BPNN) algorithm is used as the technical basis, combined with the MATLAB operation program, to sim

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19

Lord, Dominique, and Bhagwant N. Persaud. "Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (January 2000): 102–8. http://dx.doi.org/10.3141/1717-13.

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Accident prediction models (APMs) are useful tools for estimating the expected number of accidents on entities such as intersections and road sections. These estimates typically are used in the identification of sites for possible safety treatment and in the evaluation of such treatments. An APM is, in essence, a mathematical equation that expresses the average accident frequency of a site as a function of traffic flow and other site characteristics. The reliability of an APM estimate is enhanced if the APM is based on data for as many years as possible, especially if data for those same years

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20

Budzyński, Marcin, Kazimierz Jamroz, and Wojciech Kustra. "Road safety inspection as a tool for road safety management – the polish experience." Journal of KONBiN 42, no. 1 (June 1, 2017): 43–62. http://dx.doi.org/10.1515/jok-2017-0017.

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Abstract In Poland, road inspections were implemented in June 2014 on all national roads. Previous traffic surveys mainly looked at the technical condition of roads, signs and markings; other safety issues were overlooked. The main problem of the inspections is that the qualitative assessment is subjective which affects the classification of the sources of hazard on the road. The paper presents an analysis of the variability of the qualitative assessments of road defects when they are assessed by different teams of inspectors. On this basis, guidelines were developed for the classification of

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21

Chang, Lv, Qiongqiong Liu, Jin Yan, Peng Liu, Sida Zhu, Xiaoming Hu, Jun Ni, and Tong Zhang. "Risk Field Model Construction and Risk Classification of Hazardous Chemical Transportation." Mathematical Problems in Engineering 2022 (August 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/7075996.

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To reduce the risk of hazardous chemical road transportation, domestic and foreign scholars have analyzed transportation risks from theoretical points of view and built risk assessment models. Based on 483 cases of hazardous chemical road transportation accidents from 2015 to 2019, this paper analyzes the causes of accidents from the perspective of traffic regulations and constructs a risk field model of hazardous chemical transportation. Through the simulation of an accident by TruckSim, a risk classification is completed according to the risk field model of hazardous chemical transportation.

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22

Zhong-xiang, Feng, Lu Shi-sheng, Zhang Wei-hua, and Zhang Nan-nan. "Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables." Computational Intelligence and Neuroscience 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/103196.

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In order to build a combined model which can meet the variation rule of death toll data for road traffic accidents and can reflect the influence of multiple factors on traffic accidents and improve prediction accuracy for accidents, the Verhulst model was built based on the number of death tolls for road traffic accidents in China from 2002 to 2011; and car ownership, population, GDP, highway freight volume, highway passenger transportation volume, and highway mileage were chosen as the factors to build the death toll multivariate linear regression model. Then the two models were combined to b

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23

Pečeliūnas, Robertas, and Olegas Prentkovskis. "Influence of Shock-Absorber Parameters on Vehicle Vibrations during Braking." Solid State Phenomena 113 (June 2006): 235–40. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.235.

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The main goals of the work are to define consistent patterns of impacts exercised by vibration of the vehicle in emergency braking on the vehicle’s movement mode and on the braking distance and to analyze the formation of oscillation. Besides, it is aimed to extend expert’s opportunities for modeling vehicle movement for investigation of accidents’ circumstances related to vehicle braking with the aid of the developed models. A mathematical model of impact exercised by bumper’s characteristics on the vehicle’s braking process has been designed, enabling the determination of coefficients of lon

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Al-Zahrani, Abdulrahem. "An Application of Some Mathematical Models to traffic Accident Statistics in Saudi Arabia." Journal of King Abdulaziz University-Engineering Sciences 10, no. 2 (1998): 3–14. http://dx.doi.org/10.4197/eng.10-2.8.

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Vasyutina, A. A., V. V. Popov, A. I. Kondratyev, and A. L. Boran-Keshishyan. "Improvement of the vessel traffic control system for accident-free electronic navigation in the port area." Journal of Physics: Conference Series 2061, no. 1 (October 1, 2021): 012105. http://dx.doi.org/10.1088/1742-6596/2061/1/012105.

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Abstract The increase in the intensity of navigation leads to unsafe navigation, which necessitates the improvement of existing measures to ensure safe navigation using specific mathematical models and methods. The configuration of the mathematical model of the traffic flow of ships obtained in this study is realizable on modern computer technology and can be applied by embedding advanced ship traffic control systems, which is an object of the infrastructure of a modern seaport.

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Akgüngör, Ali Payıdar, and Erdem Doğan. "AN ARTIFICIAL INTELLIGENT APPROACH TO TRAFFIC ACCIDENT ESTIMATION: MODEL DEVELOPMENT AND APPLICATION." TRANSPORT 24, no. 2 (June 30, 2009): 135–42. http://dx.doi.org/10.3846/1648-4142.2009.24.135-142.

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This study proposes an Artificial Neural Network (ANN) model and a Genetic Algorithm (GA) model to estimate the number of accidents (A), fatalities (F) and injuries (I) in Ankara, Turkey, utilizing the data obtained between 1986 and 2005. For model development, the number of vehicles (N), fatalities, injuries, accidents and population (P) were selected as model parameters. In the ANN model, the sigmoid and linear functions were used as activation functions with the feed forward‐back propagation algorithm. In the GA approach, two forms of genetic algorithm models including a linear and an expon

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Habibzadeh, Mohammad, Mahmoud Ameri, Seyede Mojde Sadat Haghighi, and Hassan Ziari. "Application of Artificial Neural Network Approaches for Predicting Accident Severity on Rural Roads (Case Study: Tehran-Qom and Tehran-Saveh Rural Roads)." Mathematical Problems in Engineering 2022 (June 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/5214703.

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Traffic accidents occur due to a combination of factors that lead to casualties and injuries. By identifying the most effective factors, it is possible for safety authorities to provide appropriate solutions for decreasing the accident severity and implementing preventive measures. The aim of this research was to present models to predict the accident severity on two-lane two-way (TLTW) rural highways in Iran over a one-year period from 2019 to 2020. Therefore, the occurrence probability of any type of accident was determined by artificial neural network (ANN)-based prediction models using nin

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AlKheder, Sharaf, Fahad AlRukaibi, and Ahmad Aiash. "Risk analysis of traffic accidents’ severities: An application of three data mining models." ISA Transactions 106 (November 2020): 213–20. http://dx.doi.org/10.1016/j.isatra.2020.06.018.

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Kim, Soon Ho, Jong Won Kim, Hyun-Chae Chung, Gyoo-Jae Choi, and MooYoung Choi. "Behavioral Dynamics of Pedestrians Crossing between Two Moving Vehicles." Applied Sciences 10, no. 3 (January 26, 2020): 859. http://dx.doi.org/10.3390/app10030859.

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This study examines the human behavioral dynamics of pedestrians crossing a street with vehicular traffic. To this end, an experiment was constructed in which human participants cross a road between two moving vehicles in a virtual reality setting. A mathematical model is developed in which the position is given by a simple function. The model is used to extract information on each crossing by performing root-mean-square deviation (RMSD) minimization of the function from the data. By isolating the parameter adjusted to gap features, we find that the subjects primarily changed the timing of the

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Petruk, R. V., O. V. Lunova, and V. S. Garkushevskiy. "Improvement of methodology of justification of safe routes for transportation of dangerous substances and cargo." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (2020): 112–17. http://dx.doi.org/10.33271/nvngu/2021-5/112.

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Purpose. To improve existing methods for safe routing when transporting hazardous materials as well as waste products. Methodology. Methods of mathematical modeling, methods of statistics, methods for predicting risks and long-term environmental consequences are used. Taking into account time factors, the distribution of population into different sections of highways is considered. Findings. Parameters of the transport network and their influence on the magnitude of the risk of an emergency situation and possible accidents in the transportation of hazardous waste (THW) are established in the w

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Fuks, Henryk, and Nino Boccara. "Generalized Deterministic Traffic Rules." International Journal of Modern Physics C 09, no. 01 (February 1998): 1–12. http://dx.doi.org/10.1142/s0129183198000029.

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We study a family of deterministic models for highway traffic flow which generalize cellular automaton rule 184. This family is parameterized by the speed limit m and another parameter k that represents a "degree of aggressiveness" in driving, strictly related to the distance between two consecutive cars. We compare two driving strategies with identical maximum throughput: "conservative" driving with high speed limit and "aggressive" driving with low speed limit. Those two strategies are evaluated in terms of accident probability. We also discuss fundamental diagrams of generalized traffic rul

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Wang, Xinghua, Yong Peng, Weifeng Yu, Pengpeng Xie, Honghao Zhang, Lin Hu, and Yuan Quan. "The Analyses of Vehicle-to-Pedestrian Accidents by Integrating Rigid-Body Simulation and Robust Optimization Techniques." International Journal of Computational Methods 17, no. 07 (May 7, 2019): 1950026. http://dx.doi.org/10.1142/s0219876219500269.

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The objective of this study is to propose an approach for improving the efficiency of accident reconstruction and obtaining the probabilistic distribution of pre-impact parameters through integrating numerical simulation and robust optimization techniques. First, the ranges and probabilistic distribution of collision parameters are determined by investigators. Then, the optimal Latin hypercube design is used to generate sample points in predefined design space and corresponding responses are obtained by PC-Crash. The radial basis functions method is used to construct the surrogate models, accu

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Li, Na, and Jian Xin Liu. "A New Computer Simulation of Neck Injury Biomechanics." Key Engineering Materials 467-469 (February 2011): 339–44. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.339.

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Head and neck injuries are the most frequent severe injury resulting from traffic accidents. Neck injury mechanisms are difficult to study experimentally due to the variety of impact conditions involved, as well as ethical issues, such as the use of human cadavers and animals. Finite element analysis is a comprehensive computer aided mathematical method through which human head and neck impact tolerance can be investigated. Detailed cervical spine models are necessary to better understand cervical spine response to loading, improve our understanding of injury mechanisms, and specifically for p

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Kustra, Wojciech, Joanna Żukowska, Marcin Budzyński, and Kazimierz Jamroz. "Injury Prediction Models for Onshore Road Network Development." Polish Maritime Research 26, no. 2 (June 1, 2019): 93–103. http://dx.doi.org/10.2478/pomr-2019-0029.

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Abstract Integrating different modes of transport (road, rail, air and water) is important for port cities. To accommodate this need, new transport hubs must be built such as airports or sea ports. If ports are to grow, they must be accessible, a feature which is best achieved by building new roads, including fast roads. Poland must develop a network of fast roads that will provide good access to ports. What is equally important is to upgrade the network of national roads to complement fast roads. A key criterion in this case is to ensure that the roads are efficient to minimise time lost for

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Kiyashko, Larisa A., and Victoria A. Ksenofontova. "RESEARCH OF DEFORMATION AND DESTRUCTION OF CAR ELEMENTS UNDER EXTREME CONDITIONS." International Journal of Advanced Studies 12, no. 2 (June 30, 2022): 21–35. http://dx.doi.org/10.12731/2227-930x-2022-12-2-21-35.

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The article is devoted to the improvement of the methodology for the examination of the operation the vehicles in extreme conditions that occur during road traffic accidents (RTA). Of great interest in the field of road safety are the tasks of determining the causes of RTA and the conditions under which they occur. There are computer systems that allow modeling the processes of interaction automobile vehicles with obstacles and among themselves during an accident. These developments based on various mathematical models of the car collision process. The most reliable and promising are systems t

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Park, Sangmin, Byung-Won On, Ryong Lee, Min-Woo Park, and Sang-Hwan Lee. "A Bi–LSTM and k-NN Based Method for Detecting Major Time Zones of Overloaded Vehicles." Symmetry 11, no. 9 (September 12, 2019): 1160. http://dx.doi.org/10.3390/sym11091160.

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Overloaded vehicles such as large cargo trucks tend to cause large traffic accidents. Such traffic accidents often bring high mortality rates, including injuries and deaths, and cause fatal damage to road structures such as roads and bridges. Therefore, there is a vicious circle in which a lot of the budgets is spent for accident restoration and road maintenance. It is important to control overloaded vehicles that are around roads in urban areas. However, it often takes a lot of manpower to track down on overloaded vehicles at appropriate interception points during a specific time. Moreover, t

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Qin, Yanyan, Hao Wang, and Daiheng Ni. "Lighthill-Whitham-Richards Model for Traffic Flow Mixed with Cooperative Adaptive Cruise Control Vehicles." Transportation Science 55, no. 4 (July 2021): 883–907. http://dx.doi.org/10.1287/trsc.2021.1057.

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In the future, road traffic will incorporate a random mix of manual vehicles and cooperative adaptive cruise control (CACC) vehicles, where a CACC vehicle will degrade to an adaptive cruise control (ACC) vehicle when vehicle-to-vehicle communications are not available. This paper proposes a generalized framework of the Lighthill-Whitham-Richards (LWR) model for such mixed vehicular flow under different CACC penetration rates. In this approach, the kinematic wave speed propagating through the mixed platoon was theoretically proven to be the slope of mixed fundamental diagram. In addition, the r

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Karthikeyan, P., Wei-Lun Chen, and Pao-Ann Hsiung. "Autonomous Intersection Management by Using Reinforcement Learning." Algorithms 15, no. 9 (September 13, 2022): 326. http://dx.doi.org/10.3390/a15090326.

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Abstract (sommario):

Developing a safer and more effective intersection-control system is essential given the trends of rising populations and vehicle numbers. Additionally, as vehicle communication and self-driving technologies evolve, we may create a more intelligent control system to reduce traffic accidents. We recommend deep reinforcement learning-inspired autonomous intersection management (DRLAIM) to improve traffic environment efficiency and safety. The three primary models used in this methodology are the priority assignment model, the intersection-control model learning, and safe brake control. The brake

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Li, Wenjun, Lidong Tan, and Ciyun Lin. "Modeling driver behavior in the dilemma zone based on stochastic model predictive control." PLOS ONE 16, no. 2 (February 24, 2021): e0247453. http://dx.doi.org/10.1371/journal.pone.0247453.

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Abstract (sommario):

Driver behavior is considered one of the most important factors in the genesis of dilemma zones and the safety of driver-vehicle-environment systems. An accurate driver behavior model can improve the traffic signal control efficiency and decrease traffic accidents in signalized intersections. This paper uses a mathematical modeling method to study driver behavior in a dilemma zone based on stochastic model predictive control (SMPC), along with considering the dynamic characteristics of human cognition and execution, aiming to provide a feasible solution for modeling driver behavior more accura

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Butsanets, Artem, Evgeniy Ol’Khovik, Vladimir Karetnikov, and Victor Senchenko. "Issues of building an intelligent water transport management system." E3S Web of Conferences 326 (2021): 00029. http://dx.doi.org/10.1051/e3sconf/202132600029.

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Abstract (sommario):

The current level of technology in terms of instruments, devices and software enables the construction of local intelligent transport systems that contribute to the prevention of accidents. It has become possible to build crewless and unmanned vessels. Geographical information services such as Google Maps, Mapbox, OpenStreetMap have already shown their effectiveness. The relevance of the study stems from the possibility to partially automate ship’s route planning nowadays. As navigation monitoring is carried out by means of VHF (very high frequency) - Automatic Identification System (AIS) rece

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Varotto, Silvia F., Haneen Farah, Tomer Toledo, Bart van Arem, and Serge P. Hoogendoorn. "Resuming Manual Control or Not?: Modeling Choices of Control Transitions in Full-Range Adaptive Cruise Control." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (January 2017): 38–47. http://dx.doi.org/10.3141/2622-04.

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Abstract (sommario):

Automated vehicles and driving assistance systems such as adaptive cruise control (ACC) are expected to reduce traffic congestion, accidents, and levels of emissions. Field operational tests have found that drivers may prefer to deactivate ACC in dense traffic flow conditions and before changing lanes. Despite the potential effects of these control transitions on traffic flow efficiency and safety, most mathematical models evaluating the impact of ACC do not adequately represent that process. This research aimed to identify the main factors influencing drivers’ choice to resume manual control.

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Huang, Jing, Yong Peng, Jikuang Yang, Dietmar Otte, and Bingyu Wang. "A study on correlation of pedestrian head injuries with physical parameters using in-depth traffic accident data and mathematical models." Accident Analysis & Prevention 119 (October 2018): 91–103. http://dx.doi.org/10.1016/j.aap.2018.07.012.

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Semchenko, N. "RESEARCH OF THE ECONOMIC FACTORS IMPACT ON THE AUTOMOBILIZATION LEVEL." Municipal economy of cities 6, no. 159 (November 27, 2020): 161–68. http://dx.doi.org/10.33042/2522-1809-2020-6-159-161-168.

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Abstract (sommario):

Mortality from road accidents continues to rise, amounting to 1.35 million deaths per year. It is emphasized that today injuries as a result of road accidents are the main cause of children death and young people aged 5-29 years and the three main causes of person’s death aged 5 to 44 years. Studies of road safety various aspects in different countries have shown that the world has long and steadily formed a global problem of irregular road accidents. First of all, the inverse dependence of the emergency risk on the material well-being of countries is clearly visible. The risk of death as a re

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Chen, Wan-Hui, Chih-Yung Lin, and Ji-Liang Doong. "Effects of Interface Workload of In-Vehicle Information Systems on Driving Safety." Transportation Research Record: Journal of the Transportation Research Board 1937, no. 1 (January 2005): 73–78. http://dx.doi.org/10.1177/0361198105193700111.

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Abstract (sommario):

Driver distraction and lack of awareness of the driving situation are major causes of accidents in the urban areas in Taiwan; failing to obey traffic signals is the third leading accident cause. Numerous innovative in-vehicle information systems (IVIS) could be used collectively to provide drivers with a variety of information, such as messages from intersection collision warning systems (ICWS) by way of different in-vehicle interfaces. How the different IVIS interfaces influence driver workload and safety is always an important issue. This study investigates the effects of auditory ICWS messa

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Hashimoto, Kohjiro, Tetsuyasu Yamada, Takeshi Tsuchiya, Kae Doki, Yuki Funabora, and Shinji Doki. "Detection of contributing object to driving operations based on hidden Markov model." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987679. http://dx.doi.org/10.1177/1729881419876794.

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Abstract (sommario):

With increase in the number of elderly people in the Japanese society, traffic accidents caused by elderly driver is considered problematic. The primary factor of the traffic accidents is a reduction in their driving cognitive performance. Therefore, a system that supports the cognitive performance of drivers can greatly contribute in preventing accidents. Recently, the development of devices for visually providing information, such as smart glasses or head up display, is in progress. These devices can provide more effective supporting information for cognitive performance. In this article, we

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Yamashita, Shigeshi, Kodo Ito, Sho Kawakami, and Truong Dinh Anh Khoa. "Optimal Education Plan of Employees Using Maintenance Model." International Journal of Mathematical, Engineering and Management Sciences 6, no. 4 (July 18, 2021): 1009–24. http://dx.doi.org/10.33889/ijmems.2021.6.4.059.

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Abstract (sommario):

The employee education is indispensable for companies to improve productive efficiency and product quality. In general, the employee education is divided into two types, i.e., On-job trainings and Off-job ones, and Off-job trainings are divided into two types, i.e., compulsory educations and non-compulsory ones. Compulsory educations such as safety program and compliance education, are necessary to maintain daily production without any accidents. Although all employees of a department and a division gather in a classroom annually in conventional compulsory educations, daily e-learning educatio

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Sebesan, Ioan, Gabriel Popa, and Marius Adrian Spiroiu. "Researches on the Behavior of the Supporting Structure of Railway Traction Vehicles under the Effect of Shock Dynamic Forces." Applied Mechanics and Materials 659 (October 2014): 237–42. http://dx.doi.org/10.4028/www.scientific.net/amm.659.237.

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Abstract (sommario):

During circulation the railway vehicle is subjected to the action of dynamic forces under the effect of shocks that appear in the driving system caused by stick slip phenomenon, dynamic forces arising from the rolling process when the wheelset is passing over accidental vertical unevenness of the track and also longitudinal dynamic forces occurring in the case of buffering, respectively those caused by frontal impact (the crash forces). The present paper presents the mechanical and mathematical models which are underlying the evaluation of the magnitude of these forces as well as their effects

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KOZHEVNIKOV, M. "EMERGENCE PROCESS SIMULATION OF DESTRUCTIVE EVENTSON THE TERRITORIES OF THE REGION WITH HIGH ENGAGEMENT LEVEL OF FIRE AND RESCUE UNITS." Fire and Emergencies: prevention, elimination 3 (2021): 89–97. http://dx.doi.org/10.25257/fe.2021.3.89-97.

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Abstract (sommario):

Purpose. The main objectives of the article include the analysis of fire and rescue units activities and emergence process simulation of destructive events on the territories of the region with a high level of workload. The main principle of organizational design is to respond timely to any destructive event which has happened in the settlement, when it is sufficient to eliminate this event with a set of means and forces. In this regard, it is necessary to analyze the operational situation, simulate the conditions in which fire and rescue units operate, and then take into account the obtained

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Afonin, M., T. Postranskyy, and O. Bondarchuk. "DETERMINATION MODEL OF MAXIMUM DRIVING DURATION DURING DANGEROUS GOODS TRANSPORTATION." Municipal economy of cities 6, no. 166 (November 30, 2021): 184–89. http://dx.doi.org/10.33042/2522-1809-2021-6-166-184-189.

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Abstract (sommario):

The increase and compaction of large cities population of in Ukraine encourage the use of more resources for the construction of various settlements, as well as for the maintenance and operation of other facilities. Accordingly, the volume of cargo transportation associated with the creation and maintenance of these facilities is increasing. All new tasks related to the safety of dangerous cargo transportation are being created. The article considers the topical issue of the influence of human factors on traffic safety. It is known that in the process of road freight there are interconnected e

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Liao, Yiqi, Pengpeng Shangguan, Yiran Peng, and Taorong Qiu. "A New Feature Analysis Approach to Selecting Channels of EEG for Fatigue Driving." Computational and Mathematical Methods in Medicine 2022 (October 4, 2022): 1–13. http://dx.doi.org/10.1155/2022/4640426.

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Abstract (sommario):

Fatigued driving is a significant contributor to traffic accidents. There are some issues with common EEG data of 32 channels, 64 channels, and 128 channels, such as difficult acquisition, high data redundancy, and difficult practical application. A new channel selection method called ReliefF_SFS is proposed to address the problem of how to reduce the number of channels while maintaining classification accuracy. It combines the ReliefF algorithm and the sequential forward selection (SFS) algorithm. When only T6, O1, Oz, T4, P3, and FC3 are used, the classification accuracy under Theta_Std+FE c

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