1,720,988 research outputs found
Vehicle routing problem and car-pooling to solve home-to-work transport problem in mountain areas
No full textMountain areas have always been marginal zones for which providing a conventional public transport has been often difficult and burdensome. The present work was carried out within the European project INTERREG ALPINE SPACE called ASTUS - Alpine Smart Transport and Urbanism Strategies, a project focused on solving the mountain areas marginality problems and describes the methodology applied to the Italian pilot area constituted by the territory of “Unione Montana Comuni Biellese Orientale”, a union of 23 Municipalities in the northern area of Piemonte Region (Italy). The methodology described in this paper is related to the short term period, applicable immediately and having as its main objective the implementation of a collaborative system between conventional public transport service, car-pooling service and company mobility management. The methodology is made of four main steps: actual mobility demand and supply analysis with research for economies, implementation of supply scenarios, economic and environment plan for each scenarios and, finally, selection of the Reference one. The results show that the proposed methodology is clearly transferrable to every marginal area with the use of very few resources with a guided and goal-oriented way to improve car-pooling solutions in our reality
Datamining and big freight transport database
No full textNowadays, there is a large interest in developing a mathematical tool in the field of freight transport modeling for investigating the effects of investments and policies, involving large number of resources. However, freight demand forecasting models are still in the evolution stage [21] for the following reasons:
• lower seniority (about 10 years) than the respective passenger models;
• high number of decision-makers to consider (companies, shippers, carriers, logistics operators, port operators, deposits, etc.);
• variety of products transported (in terms of categories, dimensions, weight, value, etc.);
• high variability in decision-making processes;
• limited availability of information (data often
aggregated, dated, partial, heterogeneous, etc.).
To take into account the complexity of freight transport system, researchers have proposed a wide array of models belonging to the aggregate or disaggregate model types [1] and to three different fields: the modelling of the relationship between transportation and economic activity, logistic decision making and processes and the link between traffic flows and networks [2].The objective is mainly to understand quantitative and qualitative aspects of future traffic demand and evaluate possible future scenarios according to most relevant and influencing variables of the freight market [7]. We also want to overcome the above-mentioned problems with a newfreight demand forecasting framework based on Bayesian Networks and using European official and available data. The model has to be easy to implement, not onerous and give probabilistic results in less time, with an estimation error similar to the more complex methods. It should be capable of giving the order of magnitude of forecasted freight flows for strategic decision making at a very early phase of policy development, and be complementary to more traditional, more precise, but much more expensive freight models for later stages of analysis
A Feasibility Study for New Transport Connections between Italy and Algeria
No full textThe present study is part of the Executive Scientific Project 2 in the ItalMed Project which aims to elaborate a feasibility
study for new transport connections between Italy and Algeria. The main objectives of the study are to increase the degree of economic
integration between the two countries and improve commercial exchanges and direct investments in Algeria by Italian private
companies. Moreover, the study tries to promote Italy’s role as logistic platform for Mediterranean Countries along the east-west and
north-south corridors and to improve the capacity of Italian regions to manage international cooperation programs on transport and
logistics, finally, to support regional entrepreneurship in the foreign services sector
Stating the traffic impacts related to a new retailer trucks access of the Fortezza da Basso Exhibition Centre of Florence
No full textParking management on the surroundings of the Fortezza da Basso Exhibition Centre of Florence
No full textITS to change behaviour: A focus about bike mobility monitoring and incentive ? The SaveMyBike system
No full textThe general objective of the research is to increase the use of sustainable means of transport in urban areas, to improve air quality through good mobility practice rewarding or of mobility demand management systems (credit market mobility-tradable mobility credit) made by monitoring individual trips. After a first analysis of the existing mobility demand management systems, it is described the use of rewards/incentive as one of the possible solutions. The use of ITS to monitor all available mobility modes is analyzed and the lack of ITS to monitor daily bicycle mobility is underlined. Behind this problem, the paper presents the SaveMyBike project and its solutions
Improving bicycle mobility in urban areas through ITS technologies: The SaveMyBike project
No full textThis paper describes some ITS solutions and rewarding policies to increase the use of sustainable transport means in urban areas. Firstly, existing policies are described, and the advantages of rewarding systems are presented. Afterwards, the ITS technologies application to monitor mobility modes is described. In this context, the paper presents the SaveMyBike prototypical project and its solutions. SaveMyBike is an anti-theft monitoring system, based on RFID technologies and made of three modules. The first module creates secure urban areas through installed alarms where owners can leave their bike safely. The second module uses fixed RFID gates to monitor journeys and detect stolen bikes. The third module uses portable RFID readers that, during the parking and street control, read in-bike tags, detecting: the stolen bikes, and origins/destinations of bicycle trips. The system is based on rewarding policies, to incentivize people to use their private bikes and public transport modes
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Design of an evacuation and addressing system in case of emergency or accident in the port area of Bastia
No full textPort areas, due to the often intense traffic and the potentially dangerous nature of many goods, are exposed to a series of risks that can lead to accidental severe events. Such events may endanger the safety of port workers and passengers. This paper, that follows the studies and the research activities performed within the European Project Alacres 2, introduces a methodology that aims at improving safety and effectiveness in the evacuation phase of the port area following an accidental event. This target is pursued through the simulation of different evacuation scenarios. The methodology is based on a micro-scale pedestrian simulation model applied to the port area of Bastia, in Corsica, and demonstrates how dynamic simulation techniques can be useful in redesigning port spaces in order to optimize the evacuation phase. The simulation reconstructs in detail the port area, both at the level of spaces and punctual elements that can act as obstacles and element of danger during the evacuation phase. Through a thorough data collection and the inductive construction of appropriate statistics, it provides a sort of Digital Twin of the port. This methodology can be easily transferred to other ports of any size and it is flexible enough to be adapted and integrated with simulation models of the spaces inside the port buildings and the movements inside and around the ships on the sea side
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