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Prediction of congestion and incidents in Real time, for intelligent Incident Management and Emergency traffic management

Objective

The project aims to increase the effectiveness of incident detection and incident management on motorways and adjacent urban networks and increase road safety, through the development of innovative methods. The project will build on recent achievements in management of incidents and road emergencies in EU projects such as IN-RESPONSE, and will enhance the complete incident and road emergency management chain. The innovative methods include improvements in the dynamic prediction, detection, and verification of incidents that increase the benefits to the user and facilitate the integration of high-level technologies now reaching the marketplace. The new methods also address the integration of motorway and urban incident management and this leads to improved overall incident management and safety. A prototype will be developed including databases, models and algorithms, and will be tested with offline data from three EU sites as well as specific on-line applications at two sites. Evaluation will include separate testing of each prototype module, such as prediction and verification modules, and a simulation tool will evaluate components of the system.

Objectives:
To develop innovative methods to increase the effectiveness of incident management policies and increase road safety. The innovations include
(a) methods for predicting incidents or congestion in real time, which can activate traffic management strategies to reduce the likelihood of incidents,
(b) improved systems for sensing incidents, such as sensing hardware or scene analysis,
(c) improved integration of incident verification to increase the reliability of incident management, and
(d) integration of aspects of motorway and urban-network incident management strategies to increase the effectiveness of incident management and traffic management strategies in urban/interurban areas.

Work description:
Models of incident or congestion prediction will be developed to predict the likelihood of occurrence of incidents or congestion in real time. The prediction models can activate traffic management and control strategies to reduce the likelihood of congestion and incidents before they occur. Improved sensing can lead to increased reliability of incident management. Improving the integration of verification messages, particularly those from cellular phones, will lead to increased effectiveness of incident management. Integrating incident management strategy aspects, previously built for either urban networks or motorways, can be used to increase the effectiveness of strategies in emergency traffic management applications, and increase road safety.

These methods will integrate road infrastructure (e.g., machine vision hardware and communications installations, VMS) and portable devices (e.g., GSM) and will be based on widely available communications and positioning mechanisms, and media-independent, open architectures adapting mobile network intelligence for optimal use in transport. Simulation tests will determine possible conflicts between old and improved traffic management policies. Tests will focus on the capabilities of intelligent techniques, and on the effective use of new information, such as prediction and verification information, that were not possible with classical techniques. Barriers, technical and institutional, to integration will be identified. Evaluation will assess the performance, cost-effectiveness and interoperability of the new methods. This will be achieved with the adaptation of data and conditions from three main EU sites, i.e., Munich, Southampton and Thessaloniki, with transferability examined also at Athens and Barcelona.

Milestones:
Innovative ITS components will be designed for integration with already developed systems at project sites, responding to enhanced user needs and targets. The functional and communications specifications, interfaces and architecture of the new system will be identified. A prototype will be developed including databases, models and algorithms and tested with offline site data and online applications. The system will be evaluated with the use of a simulation tool. Intermediate results will be available at the end of the first year of work, which will include preliminary versions of the simulation testing and aspects of the prototype under development.

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

UNIVERSITY OF SOUTHAMPTON
Address
Highfield
SO17 1BJ Southampton
United Kingdom

Participants (13)

AJUNTAMENT DE BARCELONA
Spain
Address
Plaza De Sant Jaume S/n
08002 Barcelona
CONCESSION COMPANY S.A. OF THE HIGHWAY OF ELEFSINA-STAVROS-SPATA AIRPORT MOTORWAY AND WESTERN PERIPHERAL AVE. IMITTOS
Greece
Address
18 Filellinon Str.
15232 Chalandri
FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
Greece
Address
Vassilika Vouton
17671 Iraklio, Crete
HAMPSHIRE COUNTY COUNCIL
United Kingdom
Address
Ashburton Court, The Castle
SO23 8US Winchester
ITEL, INFORMATICS & TELEMATICS LTD.
Greece
Address
Vouliagmenis Avenue 409
16346 Ilioupoli
KION MELETITIKI LTD
Greece
Address
Kifissias Avenue 326
15233 Athens
NETHERLANDS ORGANISATION FOR APPLIED SCIENTIFIC RESEARCH - TNO
Netherlands
Address
Schoemakerstraat 97
2628 VK Delft
SIEMENS TRAFFIC CONTROLS LIMITED
United Kingdom
Address
Siemens House, Oldbury
RG12 8FZ Bracknell
SOUTHAMPTON CITY COUNCIL
United Kingdom
Address
Civic Centre, Civic Centre Road
SO14 7PR Southampton
SSP CONSULT BERATENDE INGENIEURE GMBH
Germany
Address
Hessbruehlstrasse 21C
70565 Stuttgart
TRANSPORT RESEARCH AND DEVELOPMENT INTERNATIONAL S.A.
Greece
Address
78C Vrioulon Street
55132 Thessaloniki
TSS - TRANSPORT SIMULATION SYSTEMS S.L.
Spain
Address
Tarragona 110-114
08015 Barcelona
UNIVERSITAT POLITECNICA DE CATALUNYA
Spain
Address
Jordi Girona 31
08034 Barcelona