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Traffic global analysis on the whole italian road network | IEEE Conference Publication | IEEE Xplore

Traffic global analysis on the whole italian road network


Abstract:

In this paper we analyze the speed profiles on the whole Italian road network. More precisely, using Octo Telematics GPS data (about 3% of the total Italian cars amount) ...Show More

Abstract:

In this paper we analyze the speed profiles on the whole Italian road network. More precisely, using Octo Telematics GPS data (about 3% of the total Italian cars amount) collected during four weeks of May 2011, we have built up for everyday of the week a mean speed profile with a time resolution equal to 15 minutes, obtaining about one million speed profiles. For this research working we developed software able to efficiently navigate the full Italian road network designing its topological properties, and algorithms for traffic control, prevision and governance. Moreover we discovered that a strong correlation function (>;90%) represents 96.4% of all data with a reduced number of profiles (256). This work was performed in order to construct an ICT (Information Communication Technology) system for monitoring and managing traffic, with a particular attention to the safety for individual passengers, vehicles and goods.
Date of Conference: 21-25 May 2012
Date Added to IEEE Xplore: 16 July 2012
ISBN Information:
Conference Location: Opatija, Croatia

1. Introduction

Human mobility is significant for human freedom, for migrations and different populations mixing, for urban planning[1], for designing the transportation systems [2], forecasting the diffusion of infectious diseases [3], [4], and finally it is a strategic problem when we face catastrophic social phenomena (riots for instance) and/or natural ones (earthquakes, tsunami, etc.). Moreover mobility and transportation is a common need in many and different natural systems, everywhere individuals interact with each other by cooperating and/or competing for the same resources (energy, food, money…). Usually for the human social systems, and also for other natural ones, we found that the mobility features and transportations systems are closely related to the community structure, and to the quality of life [5],[6]. As it is well known, the human mobility is specified by different means: feet (pedestrian dynamics), bikes and private motor vehicles (traffic dynamics), and public transportation means (in principle a deterministic dynamics). We focus our investigation on the traffic dynamics, more precisely measuring the car mobility on the whole Italian road network. The new information technologies allow direct measures of individual mobility behavior [7], [8], [9], opening the concrete possibility to build up a new class of models able to describe and also to predict, at least statistically, the traffic dynamics, so that the mobility governance could be more effective, especially to control and prevent critical situations such as congestions [10], [11], [12]. In Italy a sample of % for the whole vehicles population has an Octo Telematics GPS system for insurance reasons. Any car is associated with an ID number, so that it is possible to follow its motion over a long period of time. Each datum gives position, velocity, distance covered from the previous datum, and the signal quality [13].

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References

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