PROJECTS
Funding
Czechia
Duration
-
Status
Complete with results
Geo-spatial type
Other
Project website
STRIA Roadmaps
Overview
Objectives
The aim of the project is to create a parameterisable software application that determines the parameters of traffic flow in areas that are not equipped with traffic detectors on the roads in urban areas.
Methodology
Development of the particular software for communication between the module of Data Analyser and the module of traffic state prediction. The software was tested on a functional sample and output values were verified by real values from field. The final phase consisted in completing a comprehensive system capable of persistent data storage using a database system and its visualisation via web interface.
Funding
Parent Programmes
Institution Type
Research agency
Institution Name
The Technology Agency of the Czech Republic
Type of funding
Public (national/regional/local)
Results
- Communication interface (software) - was developed to provide smooth communication between the module of Data Analyser and the module of traffic state prediction. The interface is able to share data, results, inputs and outputs computed on both parts of the system.
- Pre-usage and testing phase of the prediction system - the system was deployed in real settings with real datasets as an input. All the functionality of developed system was tested and output values were verified by real values from field.
- Traffic predictor for prediction via virtual detectors - functional sample is able to predict the traffic quantities with use of virtual detectors (models of artificial intelligence) for a given area, detect traffic incidents and traffic restrictions for a given area.
- Software for creating and using models of artificial intelligence for traffic prediction - the software also allows the detection of traffic incidents and restrictions.
- System for traffic prediction via virtual detectors - functional sample is able to predict the traffic quantities with use of virtual detectors (models of artificial intelligence) for a given area, detect traffic incidents and traffic restrictions for a given area. The system contains a data analyser for validating of the data and correlation computing and standardised communication interface for data transmission.
- SW for traffic parameters prediction using artificial intelligence methods in locations without traffic sensors - there was designed and implemented a software prototype for virtual sensor prediction method selection. This prototype uses the Mysql database, SQL scripts, R-project scripts and table processor. There was designed and implemented a software prototype for minimal space density sensor estimation. This density estimation was designed under standard traffic situation to reach optimal functionality of virtual sensors. This prototype uses the Mysql database, SQL scripts, R-project scripts and table processor. There was designed and implemented a software prototype for incident traffic situations detection. This prototype uses the Mysql database, SQL scripts and table processor.
- System for determining the parameters of artificial intelligence methods for traffic prediction - functional sample is - for a given area - able to provide information about suitable method of artificial intelligence for virtual detectors creation. Functional sample represents a comprehensive system capable of persistent data storage using a database system and its visualisation via web interface.
Partners
Lead Organisation
EU Contribution
€0
Partner Organisations
EU Contribution
€0