Objective
Transportation authorities use real-time traffic data for everyday urban transport management, and analyse commuters’ origin and destination points for infrastructure and transit planning. However, intelligent transport systems that provide real-time data cost millions of euros for road sensor deployment. GPS aggregators like Google Maps and Inrix are inexpensive but can miss up to 50% of real time traffic jams, and do not represent population segments proportionally, which is essential to transportation planning. Cellular network location data is now ubiquitous and cheap, but it is imprecise due to the range of cellular antenna coverage.
Cellint uses artificial intelligence algorithms to process cellular network location data for optimized transportation management. Our patented technology tracks phones on a mobile network passively and anonymously, pinpointing their locations on any mode of transportation. The result is a virtual sensor network that provides real-time sensor-quality traffic data at a fraction of the cost of sensor systems. Our origin-destination data is so accurate that it can identify the root causes of specific transit congestions.
Our technology is unparalleled in its performance and cost-effectiveness. However, we manually process the data that our transport authority clients require. Preparing customized reports based on this comprehensive data can take weeks or months. This has created a serious bottleneck for us, and is restricting our growth.
In this project we will upgrade and integrate our current solutions into a single automated transportation information platform with advanced analysis and visualization features, with results provided in minutes instead of months. We will launch 4 modules: 1) Real-time traffic management, 2) Ongoing transportation management, 3) Real-time crowd management, and 4) Parking management. TrafficWise will be the first holistic, low-cost, highly accurate transportation information platform in the world.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network4G
- social sciencessocial geographytransportpublic transport
- social sciencessocial geographytransportsustainable transportintelligent transport systems
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Programme(s)
- H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
Topic(s)
Call for proposal
(opens in new window) H2020-SMEInst-2016-2017
See other projects for this callSub call
H2020-SMEINST-2-2016-2017
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
71100 LOD
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.