A Novel Approach in Evaluating the Impact of Vehicle Age on Road Safety

This study examines the correlation between road accident casualties and the age of the vehicle, assuming that the age of vehicles and the improvements in their safety designs are related. The study evaluates the impact of the interrelationship between road segment characteristics and road accident type on vehicle age at the time of the accident (AVC). To analyse the nested relationship between these variables, a multinomial logistic regression (MML) model has been developed. The result of the analysis also duly finds that vehicle age has an emphatic role in the occurrence of accidents

Dynamic model of urban controlling based on artifical intelligent methods

To effectuate a consistent methodology for urban planning - taking into consideration the viewpoints of land use and transportation - we need to approach the subject with considering complex social and economical aspects. To handle both of the mentioned urban planning areas together, we shall develop models, which are able to pay attention to all of their restrictive factors within the temporal properties as well

Assessment of the Current Status of Intelligent Transport Systems Serving the Improvement of Road Safety in Hungary

Reducing the number of road accident victims is a declared purpose of the European Union. The lowering of the number of accidents and victims has a positive financial effect, besides social interests. Intelligent Transport Systems (ITS) can be effective tools to improve road safety by warning and supporting the drivers and decreasing accident risks based on all the three pillars of traffic systems: the vehicle, the infrastructure and the human factor.The aim of our research was to structure the ITS solutions serving the improvement of road safety based on their characteristics and to analyze exemplary applications from each category. During the analysis - besides the structure of the systems - the presentation of data collection and data processing methods, and linkage options have also been touched upon.The research highlights the comprehensive opportunities to improve road safety by the presented applications, therefore facilitating public acceptance and revealing the importance of widespread of the Intelligent Transport Systems

Introducing Safety and Security Co-engineering Related Research Orientations in the Field of Automotive Security

Since modern vehicles are connected and their transport processes are strongly supported by different automated functions, malicious external interventions can impair safety integrity. Therefore, it seems to be reasonable in the future to introduce safety and security co-engineering approaches in the automotive industry. With regard to the performed evaluation, three main promising research orientations have been identified. Automotive safety and security related development of co-engineering methodology and validation framework are of key importance from the viewpoint of autonomous transportation. Accordingly, a scenario based, integrated evaluation of automotive safety and security would be closely fit to the concept of SOTIF and the SoS approach. Beyond this, the communication and network security of "vehicle to everything" channels have to also be in the focus of automotive researches. Additionally, the development of automotive anomaly detection systems, especially focusing on the complex SoS operation processes will be a highly important research orientation

Spatial Econometrics – Usage in Transportation Sciences: A Review Article

Nowadays the spatial econometrics is became widely used in transportation sciences. In order to know which method can be used or how they should be used, the review articles give answers. In this recent paper the goal is to collect all of the methods in one article which can be used in further researches. The improvement in this article is that beside the spatial econometric methods, other necessary techniques are also introduced. With this fact a whole analysis can be applied

Static System Optimum of Linear Traffic Distribution Problem Assuming an Intelligent and Autonomous Transportation System

The aim of this article is to present the research results of the authors in the field of defining the system optimum regarding the traffic distribution assuming an intelligent and autonomous transportation system. Authors define the linear programming framework of the traffic distribution problem in case of pre-defined demand structure, network properties and alternative routes related to each origin-destination zone pair. In the paper the description of the applied method and its verification are presented in a simplified model example. As a basic result, it is clearly shown that in case of the introduced static conditions the approach is applicable to determine the optimal solution of the traffic distribution problem in a given sample time period of an autonomous transportation system

Transportation in Brazil: Joinville

This article shows the situation of transportation in Brazil, in particular in the case of Joinville, a medium size city, contemplated with federal investment  for improve the urban mobility