{"title":"Optimization of Traffic Accident Quantity Estimation Method Synergy of Factors Affecting Traffic Accident Quantity with Raw Values","authors":"Piotr Gorzelańczyk, H. Tylicki","doi":"10.54175/hveh2010001","DOIUrl":"https://doi.org/10.54175/hveh2010001","url":null,"abstract":"As the number of vehicles on the road increases, traffic accidents are becoming more destructive, causing loss of life and work. This is due to rapid population growth and the development of motorization. The most important challenge in estimating and studying information about street twists of fate is the small amount of facts available for this analysis. Although car accidents kill and injure millions of people around the world each year, they are rare in time and space. The motive of this article is to advise an effective approach to estimating the number of accidents on Poland’s roads, based primarily on a combination of factors affecting such layered situations. The methodology presented in this paper for the use of multi-criteria optimization procedures using a multi-criteria optimization model (a set of forecasting methods, sub-criteria of the criterion function, and elements of the dominance relationship) allows us to conclude that the above methodology can be used to optimize methods for forecasting road accidents in Poland.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"115 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139841575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of Traffic Accident Quantity Estimation Method Synergy of Factors Affecting Traffic Accident Quantity with Raw Values","authors":"Piotr Gorzelańczyk, H. Tylicki","doi":"10.54175/hveh2010001","DOIUrl":"https://doi.org/10.54175/hveh2010001","url":null,"abstract":"As the number of vehicles on the road increases, traffic accidents are becoming more destructive, causing loss of life and work. This is due to rapid population growth and the development of motorization. The most important challenge in estimating and studying information about street twists of fate is the small amount of facts available for this analysis. Although car accidents kill and injure millions of people around the world each year, they are rare in time and space. The motive of this article is to advise an effective approach to estimating the number of accidents on Poland’s roads, based primarily on a combination of factors affecting such layered situations. The methodology presented in this paper for the use of multi-criteria optimization procedures using a multi-criteria optimization model (a set of forecasting methods, sub-criteria of the criterion function, and elements of the dominance relationship) allows us to conclude that the above methodology can be used to optimize methods for forecasting road accidents in Poland.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"21 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139781795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mouna Samaali, E. Aglzim, Xavier Dessertenne, Patrick Dubreuille
{"title":"Electrical-hydraulic Modeling and Simulation in MATLAB/Simulink of an Industrial Multi-service Vehicle for Tunneling","authors":"Mouna Samaali, E. Aglzim, Xavier Dessertenne, Patrick Dubreuille","doi":"10.54175/hveh1020005","DOIUrl":"https://doi.org/10.54175/hveh1020005","url":null,"abstract":"The land transport sector has gone through multiple phases of evolution in vehicle design, development, and manufacturing. In particular, the construction sector continues to move towards autonomous vehicles, which have been one of the major trends and have become a hot topic in the industrial and academic world. With this new technology of assistance systems, which control the hydraulic actuators of a car (steering wheel, accelerator, and brake), humans are freed from driving tasks and the number of traffic accidents will be reduced. The modeling and simulation phases play a major role in the development of the construction machine in order to simulate the dynamic behavior of the vehicle and adjust all the parameters beforehand, so that the automated functionality will be easy to realize, and safety will be improved with high accuracy. The objective of this paper is to design a hydro-electric industrial vehicle model for the company METALLIANCE using MATLAB/Simulink environment and compare its simulation with experimental tests. The study addresses the modeling of industrial machines based on the mathematical description of the vehicle dynamics by defining for real-time evaluation of the different vehicle parameters, verifying, and validating the simulation model by comparison with real recorded data.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"47 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Selected Metal Materials in Automotive Electrical Engineering—A Brief Overview of the State of the Art","authors":"M. Richert","doi":"10.54175/hveh1010004","DOIUrl":"https://doi.org/10.54175/hveh1010004","url":null,"abstract":"The work presents selected material issues related to the development of modern motorization. The advantages and threats of obtaining key materials for the automotive industry were analyzed. Aspiration to radically reduce CO2 emissions sets the main trend in the automotive industry focused on the production of electric cars. The production of electric cars is closely related to the development of innovative battery production technologies using such critical elements as lithium, magnesium, nickel, cobalt, and graphite. Their acquisition and production of components is concentrated in several countries around the world, including China, which is their main supplier. The lack of diversification of supplies and the huge expected increase in demand for these materials, resulting from the exponential growth in the production of electric cars, pose threats to supply chains. One of the solutions is the development of effective technologies for battery recycling. There is a risk of losing many jobs as a result of changes in the automotive market and the withdrawal of classic cars from production. Taking into account the scope, pace, and changes resulting from changes in the automotive industry, in particular in the field of materials, one should expect their global impact on the economy.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114873820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Inverse Dynamics Technique in Planning Autonomous Vehicle Speed Mode Considering Physical Constraints","authors":"M. Diachuk, S. Easa","doi":"10.54175/hveh1010003","DOIUrl":"https://doi.org/10.54175/hveh1010003","url":null,"abstract":"The study aims at improving the technique of planning the autonomous vehicles’ (AV) speed mode based on a kinematic model with physical restrictions. A mathematical model relates the derivatives of kinematic parameters with ones of the trajectory’s curvature. The inverse approach uses an expanded vehicle model considering the distribution of vertical reactions, wheels’ longitudinal reactions according to a drive type, and lateral forces ensuring motion stability. For analysis of the drive type, four options are proposed: front-wheel drive (FWD), rear-wheel drive (RWD), permanent engaged all-wheel drive (AWD), and 4-wheel drive with torque vectoring (4WD-TV). The optimization model is also built by the inverse scheme. The longitudinal speed’s higher derivatives are modeled by the finite element (FE) functions with nodal unknowns. The sequential integrations ensure the optimality and smoothness of the third derivative. The kinematic restrictions are supplemented by the tire-road critical slip states. Sequential quadratic programming (SQP) and the Gaussian N-point scheme for quadrature integration are used to minimize the objective function. The simulation results show a significant difference in the mode forecasts between four types of AV drives at the same initial conditions. This technique allows redistributing the traction forces strictly according to the wheels’ adhesion potentials and increases the optimization performance by about 40% compared to using the kinematic model based on the same technique without physical constrains.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Driving Simulator Study to Understand the Impact of Cell Phone Blocking Apps on Distraction","authors":"R. Javid, E. Sadeghvaziri, M. Jeihani","doi":"10.54175/hveh1010002","DOIUrl":"https://doi.org/10.54175/hveh1010002","url":null,"abstract":"Using cell phone blocking apps is an effective way to prevent distracted driving. This study used a high-fidelity driving simulator to examine drivers’ behavior while using a cell phone blocking app. Thirty-five participants drove in a simulated network under four scenarios. Participants also completed pre- and post-survey questionnaires. The results support previous investigations regarding interactions with phones while driving. Results showed that drivers deviated from the center of the road, changed lanes significantly more often, and increased their steering velocity when drivers were interacting with a cell phone. The impacts of cell phone blocking apps were similar to the no distraction scenario while driving. This suggests that using cell phone blocking apps is one of the most effective ways to prevent distracted driving. Survey results indicated that only 23% of drivers used cell phone blocking apps before the experiment. However, 88% of the participants had a positive opinion about using these apps and indicated that they would use such apps after the experiment. These findings support the importance of cell phone blocking apps from a policy perspective and highlight the need to educate drivers about distracted driving prevention technologies.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134065641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Murad M. Shoman, H. Imine, Kenth Johansson, V. Wallqvist
{"title":"Measuring Cyclist’s Inputs, the Kinematic and Dynamic Properties of a City Bicycle, and Estimating the Road Profile via Sensor Fusion","authors":"Murad M. Shoman, H. Imine, Kenth Johansson, V. Wallqvist","doi":"10.54175/hveh1010001","DOIUrl":"https://doi.org/10.54175/hveh1010001","url":null,"abstract":"In this paper, we present the instrumentation of a city bicycle with different sensors and devic-es in order to measure cyclists’ inputs (i.e., pedaling and steering) and the dynamical and kinematic properties of the bicycle. The instrumentation includes two tri-axial accelerometers, an Inertial Measurement Unit (IMU), GPS, a potentiometer, a laser scanner, a pedaling power meter, and speed and cadence sensors, in addition to a mobile eye tracker worn by the cyclists. After the instrumentation and adjustment of the sensors, a study was conducted in the city of Stockholm using the instrumented bicycle with the aim to evaluate cycling safety and comfort on snowy surface conditions. The outputs of this experiment will be employed further to study the interaction of cyclists with road infrastructure and other road users and their impact on cyclists’ behavior and cycling safety.","PeriodicalId":322708,"journal":{"name":"Highlights of Vehicles","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132082471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}