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Methods, equipment and measurement tools to monitor urban and non-urban roads.

Project

Methods, equipment and measurement tools to monitor urban and non-urban roads.


Funding origin:
Italy
Italy
STRIA Roadmaps:
Network and traffic management systems (NTM)
Network and traffic management systems
Transport infrastructure (INF)
Transport infrastructure
Transport mode:
Road
Road
Transport sectors:
Passenger transport
Passenger transport
Freight transport
Freight transport
Duration:
Start date: 01/01/2006,
End date: 01/12/2007

Status: Finished
Funding details:

Overview

Background & policy context:

Traditional monitoring techniques are consolidated and reliable, but can only measure a limited set of fundamental parameters. In the last ten years, traffic picture processing has spread rapidly because of its lower impact on infrastructure and users and new fields of applications it offers, such as access control, surveillance, adaptive management of signals, estimation of poor safety conditions. The technique is still young and can be significantly developed. The existing commercial devices have limits of applications due to implemented techniques, lower accuracy and reliability, their high costs and need of power supply. The application of motion-tracking techniques to traffic film is innovative compared to the technique of virtual coils, and can significantly reduce counting and classification mistakes, and increase the number of parameters that can be measured (e.g., analysis of trajectories). Their integration with wireless communication systems is also innovative and necessary.

Objectives:

The main objective of the project was to encourage the development of procedures, techniques and devices for measuring and transmitting traffic data which can support the management and operation of road network, providing innovative solutions in the field of measurement methods, devices and systems. The project tested motion-tracking techniques applied to traffic films in order to improve the robustness (reduction of the sensitivity to weather conditions like rain or fog) and accuracy in identifying traffic parameters of individual vehicles (e.g. identification, trajectories, etc.) and conditions (e.g. bottlenecks, poor safety, etc.).

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