NetEyes

Mass Positioning With Street Level Accuracy
and Cellular Location Analytics

NetEyes connects to the cellular network and tracks all active phones anonymously in real time. Based on a unique signature method, collected from crowd sources, NetEyes assigns GPS coordinates to each signaling message reported on the network, thus achieving orders of magnitude more accurate positioning than any passive cellular location technology.

The street level location accuracy enables many new use-cases to mobile carriers, which are not possible by using standard triangulation or cell-sector methods. By replacing multimillion infrastructure projects and manual poles with state of the art technology, NetEyes creates new revenue sources for carriers and enable them to lead the smart city market.

NetEyes key deliveries:

The most comprehensive data solution for mobility in smart cities, including transportation planning and traffic management

Safe city applications and emergency evacuation planning and management

Crowd management

Tourists preferences analysis per country of origin

Location based advertisement and services

Population mobility analytics and patterns insight

How it works:

Slide 1

NetEyes generates its superior accuracy by taking the signaling messages generated by the cellular network, and assigning GPS coordinates to each data point in real time. In order to achieve that level of accuracy the system match the live signaling data from the network with maps the cellular signaling patterns along streets, roads and railways, which acts as a reference location database (instead of the cellular tower location). The mapping process includes recording physical journeys from crowd sourcing over the roads, railways and paths, in which each cellular signaling message is recorded with a GPS location reference. ➔

Slide 2

Once this location reference database is ready, the system will use it as follows:
The system tracks each specific anonymous phone, and by using a sequence of cellular messages the mobile phone generates, NetEyes correlates it to the exact route it is traveling on. NetEyes has the ability to distinguish between parallel, close-by roads and lanes which are separated by some type of terrain. Once a phone is correlated to a path, the system can measure the position of the phone accurately, similar to a virtual sensor in short intervals along the route, while tracking the same vehicle as it passes every virtual sensor ➔

Slide 3

Every couple of location points provides an accurate travel time sample for that section. The system collects all the samples to continuously create a full traffic data picture for the monitored road. A special algorithm is used to derive slowdown alerts from that flow data. Further analysis is conducted to determine where each phone’s owner lives, works, travel, how and why. Data is provided for all neighborhoods, industry zones and recreational facilities at street level resolution. The data quality was validated by many municipalities, government agencies and market leaders to match sensors data quality.

How it works:

Slide 1 - copy

Slide 2 - copy

Once this location reference database is ready, the system will use it as follows: The system tracks each specific anonymous phone, and by using a sequence of cellular messages the mobile phone generates, NetEyes correlates it to the exact route it is traveling on. NetEyes has the ability to distinguish between parallel, close-by roads and lanes which are separated by some type of terrain. Once a phone is correlated to a path, the system can measure the position of the phone accurately, similar to a virtual sensor in short intervals along the route, while tracking the same vehicle as it passes every virtual sensor ➔

Slide 3 - copy

NetEyes enables the following use cases:

Street level positioning of active phones

Each phone that communicates with the network a few messages in a row is matched with the signature database in real time to identify the exact street it is traveling on and the exact location on that street in short intervals.

Real time road management

By using our speed data, travel time and congestion detection traffic control center professionals are alerted in real time to any problem in traffic flow, and can initiate proper action plan, such as clearing incidents, re-routing traffic, alert drivers and commuters, etc.

Traveler information

By using our travel time data and congestion detection, municipalities and transportation agencies can provide the public up-to-date and accurate information about delays on all relevant routes and for all relevant modes of transportations

Construction zone management

By using our speed data, delays and Origin Destination data, the operator of the construction zone, or the contractor, or the agency which assigned the work can understand the level of delays created during the construction as well as re-routing decisions of commuters, and make proper decisions in real time and off line how to best mitigate the impact of the construction

Road planning

By using our speed data, delays and Origin Destination data, agencies and road planners can measure current congestion and OD distribution demand of a specific road section, bridge or street, and based on understanding where all these commuters come from and go to, decide on the required changes and predict the impact of a such change on future traffic conditions, delays and demand.

Public transportation planning

By using our travel time data, delays and Origin Destination data public transportation agencies and planners can measure current demand and OD distribution of a specific bus line, station, train or subway, and based on understanding where all these commuters come from and go to, decide on the required changes and predict the impact of a such change on future conditions, delays and demand.

Traffic signal timing

using our speed data, delays (from any direction to any direction) and micro analysis Origin Destination data (i.e. percentage of turning in the junction from any direction to any direction as well as route distribution in a corridor) traffic signals can be tuned to provide best flow and minimum delays for the commuters. The results of the optimization can be monitored by our system on an on-going basis, detecting changes in traffic patterns and identifying the time for re-calibration

Historical performance database

By using historical records of travel time, speeds, congestion and origin destination data, a city or agency can track the improvement of the transportation system continuously over time, and calculate cost-performance ratio of projects and improvements

Household travel survey

By using our Origin Destination data, the survey can identify where people live, work, visit, why and how they travel, etc. The cellular network data has excellent representation of all population segments, including population that is not covered by regular surveys like visitors, immigrants and students. This method also overcomes the shortage of the old method, in which decreasing number of people have land lines which makes them adequate for a phone survey. The data can be matched with government census data of their home neighborhood in order to deduct demographic parameters of the monitored population, such as age, level of income, etc.

Congestion mitigation analysis

By using historical records of travel time, speeds, congestion and origin destination data road agencies and municipalities can track the different contributors to congestion and find mitigation measures

Traffic impact studies

By using historical records of travel time, speeds, congestion and origin destination data, road agencies, municipalities, consultants and integrators can anticipate the impact of a new bus station, bus line, bridge, road lane, etc.

Population mobility analysis

By using historical records of peoples location, as they were reported on the network, one can tell what type of people arrive at a certain place, where people live, work, visit, why and how they travel, etc. The data can be matched with government census data of their home neighborhood in order to deduct demographic parameters of the monitored population, such as age, level of income, etc.

Multimode analysis

By using historical records of travel time, speeds, congestion, peoples location and origin destination data, transportation managers can analyze complex journeys which include more than one mode of transportation, including cars, cycling and transit, and adjust the transportation system to handle this type of demand

Tourist preference analysis

By using our OD data and travel time data, NetEyes provide analysis on where tourist go, what type of attractions they prefer, how they travel, where they stay and for how long, etc. Reports are differentiating between tourist from each country, as well as business and leisure tourists. City managers and Department of Tourism can make wise decisions on where to advertise, what to advertise in each country, what facilities should be improved, etc.

Tourists mobility patterns and experience

By using our OD data and travel time data, NetEyes provides analysis on where tourist go, what type of attractions they prefer, how they travel, where they stay and for how long, etc. Reports are differentiating between tourist from each country, as well as business and leisure tourists. City managers and Department of Tourism can make wise decisions on where to advertise, what to advertise in each country, what facilities should be improved, etc.

Crowd management and planning

By using our OD and travel time data combined with demographic analysis based on home location, work location, preferred destinations and behavior patterns, cities can better prepare and manage large events such as sports events, demonstrations, festivals, concerts, etc. Analyzing who is coming there, where they live, what mode of transportation they use, etc. can lead the police and events managers to better decisions on how many policeman are required and where, how many people should be allowed into the event, etc.

Crowd evacuation/clearance management

By using our OD data and travel time data combined with demographic analysis based on home location, work location, preferred destinations and behavior patterns, cities can better prepare and manage evacuation during crowded events and areas, such as shopping malls and industry zones during disasters. Analyzing who is coming there, where they live, what mode of transportation they use, etc. can lead the police and facility managers to better decisions on how many policeman are required and where, what type of transportation is required and where, etc.

Safe city applications

Location based advertisement

Knowing the exact street and building block a phone is passing through enables a much more effective advertisement for the stores at that street, as well as population analytics of who is passing on that street.

Retail visitors analysis

Knowing the exact street and building block a phone is passing through enables a much more effective analysis who is visiting the facility, where they live, work, travel, etc.

Retail location analytics

Knowing the exact street and building block a phone is passing through enables a much more effective analysis who is visiting the facility, where they live, work, travel, etc.

Retail competitive analysis

Knowing the exact street and building block a phone is passing through enables a much more effective analysis who is visiting the facility, where they live, work, travel, etc., not only for your store, but also for the competition store

NetEyes platform includes the following service modules:

Incident report module which automatically analyses each event in the flow data, and reports all relevant details per event

High Definition Traffic flow data interface for integration with dynamic map data, such as Google Earth/Maps

Report generation of population density and origin destination studies for all modes of transportation from a junction level, through corridor and city levels and up to a country level.

System Interfaces:

Control Center

Interface to control centers using standard communication protocols, such as XML or KML. Data format can be TMDD.

Statistical Reports

NetEyes online distribution platform, which enables multi-customer access to information via internet.

Distribution Platform

Direct connection to Cellint’s Customer Interface client application

Cellint's Interface

Excel reporting of all statistical reports