Technology

Cellint’s proprietary, patented technology generates the location measurements of the mobile handset by comparing the real time signaling messages from the mobile network of all active phones with pre-generated cellular maps of the roads, railways and passes, assigning GPS coordinates from the reference database to each such cellular message in real time. Cellint technology assigns these accurate locations to phones without the need to install a GPS tracker in the car or activate any GPS application on the phone and without any compromise on the individual’s privacy.

The location information is used to measure travel time over very short segments, equivalent to speed detection of road sensors. This data is used to monitor travel times and detect congestion in real time. Cellint technology is the only probe based technology, worldwide, that was verified by road agencies and municipalities to match road sensors data quality: i.e. detecting all relevant slowdown within a few minutes delay only. Based on the cellular penetration, Cellint has by far the largest real time sample base when compared to other area-wide data collection solutions.

For road traffic monitoring we provide the most cost effective and seamless solution, which is accurate enough for road management as well as for traveler information. Using Floating Car Data over short intervals, Cellint provides incident detection similar to road sensors, while producing highly accurate travel times, which only floating car data can deliver.

Same accurate location data is also used to collect statistics for origin destination analysis of the mass population. The data in the cellular network enables us to deduct where people live, work, where and when they shop, go to see movies, sports, or any other special event. This data, when combined with the street level accuracy of Cellint technology, can provide origin destination analysis from junction level to a state level, helping you answer many types of questions, such as:

• Traffic calming projects: what is the root cause of a congestion – where are most of these people coming from, where are they going and why, what percentage is passing through and what percentage are staying there. Which mode of transportation they are using, what alternative do they have if, for example, we want to divert traffic, or reduce number of lanes, etc.
• Traffic impact studies: what will be the impact of a new lane, a new bridge, and new office building or a new bus station? How many people may use it, how far they live or work from there, and what will be their travel time.
• Household Travel Surveys: demographic changes in commuting habits over time by mode of transportation for neighborhoods, industry zones, cities or states.
• Traffic signal tuning: percentage of turning and delays in a junction from each direction, combined with trip distribution and travel time between junctions in a corridor, enable best of class, on-going traffic signal optimization and fine tuning