1,721,048 research outputs found
Analysis of Externalities Related to the Introduction of a Bike-Sharing System in an Urban Area
No full textEvaluation of Post-license Advanced Driver Training in Italy
Full text linkAbstractPost-license advanced driver training addresses different categories of road users such as: novice drivers, professional drivers, company employers and recidivists. These training courses can be carried out on-track or on the road. On-track courses allow participants to gain knowledge on driving physics and experience limits in a safe road environment. On-road courses are more focused on hazard perception and situation awareness.Although extensive research has been done in this field, knowledge of the effects of these courses on road accident risk remains unclear. Previous evaluation of on-track courses did not always show a positive effect on crash rate. For example, post-license training focused on mastery of driving skills can lead to an increase of accident risk, especially on young males.However, research identified several factors that may enhance the effectiveness of driving training. In Europe a new framework for driver education and training has been proposed based on a safe driver hierarchical model (the GADGET model) and the development of a strategy for continuous learning.According to this framework, an evaluation study of on-track post-license advanced driver training has been undertaken in Italy with the main goal of assessing the safety effects of these courses and identifying training aspects to be improved. Besides crash rate, the study aims at assessing also driver behavior, knowledge of risks, self-evaluation and training quality.This paper presents the results of the possible effects of advanced driver training on driving behavior, considering in particular the number and type of violations. For each driver, data on age, gender and driving violations history were extracted from the platform and the national violations database.Three cases were addressed through a before-after analysis with control group. Case 1 considers all drivers who attended an ADT course. Case 2 aimed at understanding the effects of the courses on a specific target group: the traffic violators. Case 3 is similar to Case 2, however the control group was selected in a way that drivers characteristics and the violation rate was similar to the violation rate of the treatment group in the before period.The significance of the differences highlighted was assessed through appropriate statistical tests (i.e. paired t-test and the Wilcoxon signed-rank test).The study showed in general a higher propensity to commit traffic violations after attending an ADT course. These results are in contrast to what expected and show the necessity to diversify the training classes according to the different needs of participants
Fractional vehicle ownership and revenue generation through blockchain asset tokenization
Full text linkThe automotive industry is on a continuous transition towards a more sustainable and integrated ecosystem influenced by the fast-paced adoption of Electrical Vehicles (EVs) and the developments of emerging technologies such as Automated Vehicles (AVs). The road transportation sector is also experimenting with the emergent decentralized blockchain technology in various ways ranging from supply chain transparency to insurance and tokenization. Some of the recent use cases are the use of Non-Fungible Tokens (NFTs), unique digital assets designed to be immutable, to certify ownership of a vehicle, the data history of it or just for fan base development. The current paper reviews the literature findings concerning the potential of Non-Fungible Tokens for the automotive industry and proposes a new car ownership and revenue generation model using the ERC-1155 token standard. Our proof-of-concept based on fractional vehicle ownership demonstrates the feasibility of such a model that allows for revenue distribution amongst the vehicle owners according to the percentile invested in the vehicle acquisition
Analysis of road safety management systems in Europe
No full textThe objective of this paper is the analysis of road safety management in European countries and the identification of “good practice”. A road safety management investigation model was created, based on several “good practice” criteria. Road safety management systems have been thoroughly investigated in 14 European countries on 2010, by means of interviews with both governmental representatives and independent experts, who
filled in an extensive questionnaire.
A reliable and accurate picture (“profile”) was created for each country, allowing country comparisons. Then, statistical methods
were used to make rankings of countries, and analyse the relationship between road safety management and road safety performance.
The results of the analyses suggest that it is not possible to identify one single “good practice”. Nevertheless, there
were several elements that emerged as “good practice” criteria.
On the basis of the results, recommendations are proposed at national and European level
Impact of e-safety applications on cyclists’ safety
No full textIn years to come, urban areas face the challenge of making transport sustainable in terms of environment and
competitiveness. Cycling is a perfect transport means in urban areas. Cyclists have a high casualty rate and should be given special attention in road safety policy. Actions to promote cycling in cities should go together with improving road safety.
ICT can be used to develop intelligent applications assisting cyclists to avoid, prevent or mitigate accidents. This paper presents the results of activities focused on the assessment of impacts of ICT on the safety of cyclists, realised in the framework of the EU project SAFECYCLE (www.safecycle.eu). E-safety applications were identified that can enhance the safety of cyclists in Europe. Eleven applications were analysed in term of benefits and costs. The results highlighted important differences between European countries in term of awareness about cycling, knowledge about ICT applications
and also impacts of these application
Recommendations for Establishing Pan European Transparent and Indipendent Road Accident Investigations
No full textTools for Assessing the Safety Impact of Interventions on Road Safety
No full textThis paper is the result of a PhD in Transport Infrastructure, realized at CTL, aimed to investigate issues related to the evaluation of interventions producing changes in traffic configuration and to develop an information system (Road safety Impact Assessment - RIA Module) to be integrated in an existing Decision Support System on road safety. The research created a library of SPF and developed an information system, called "RIA Module", updating the existing "DSS - ISIDE", developed by CTL. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of SIIV2012 Scientific Committe
Strategies and Measures for Sustainable Urban Transport Systems
Full text linkAbstractIncreasing sustainability of urban transport systems is a crucial objective of all strategic plans both at national and European level. Different strategies and measures can be adopted to improve the efficiency of transport systems, according to a large set of factors that can affect the results of the implemented actions. A comprehensive study has been carried out in order to define a methodology able to define effective and efficient strategies and measures, allowing to increase the sustainability level of different kinds of cities, from small-medium sized to large metropolitan areas. The methodology has been tested on a group of 50 Italian cities, whose characteristics have been analysed through an initial set of more than 200 indicators. Three main groups of indicators have been taken into account: State indicators, Sustainability indicators, Policy indicators. The main aim has been to identify existing relationships between Sustainability and Policy indicators for cities showing commonalities in terms of State indicators. A correlation analysis allowed to identify 53 relevant indicators from the initial set of 200, while a cluster analysis, based on a hierarchical model, allowed to group the cities into five different groups, according to their population size and density. Correlations between relevant indicators have also been analysed within each group, while linear regression models have allowed to describe some functional relations between Policy and Sustainability indicators. A benchmarking exercise has allowed to identify strategies and measures adopted by the best performers within each group, hence defining possible paths to a better sustainability level for the remaining cities. Finally, recommendations for a correct urban mobility planning procedures have been produced
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