CitySense monitors movements and behavior patterns of inhabitants and visitors in all transportation modes and provides state of the art data and tools to best manage and optimize city services and safety, enabling municipalities and governments to best develop their territories and achieve their economic and cultural goals. CitySense generates its data by connecting to the main switching centers of the mobile network and tracking all active phones in real time, anonymously and passively, to the exact street they are traveling on, pin-pointing their exact location in short intervals.
CitySense
Next Generation Data Solution
for Smart City Management
for Smart City Management
CitySense key deliveries:
Real time traffic monitoring, including speeds, travel time and congestion detection at sensor’s grade quality, at a fraction of their cost
Origin destination data (OD) and mobility patterns analysis of the population in all modes of transportation for urban planning and transportation planning, as well as for traffic impact studies and home travel surveys
Micro-level origin destination analysis for traffic signal timing and congestion mitigation
Density information and crowd management tools
Tourist and visitors preferences analysis and tourist campaigns optimization
Safe city application, evacuation planning and management
How it works:
CitySense generates its superior accuracy by taking the huge amount of data points generated by the cellular network, and assigning GPS coordinates 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 in the city, which acts as a reference location database (instead of the cellular tower location). The mapping process includes recording physical journeys over the roads, railways and paths, in which each cellular signaling message is recorded with a GPS location reference. ➔
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, CitySense correlates it to the exact route it is traveling on. CitySense 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 every 250 meters on average along the route (in urban areas), while tracking the same vehicle as it passes every virtual sensor ➔
Every couple of location points providesan 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 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:
CitySense generates its superior accuracy by taking the huge amount of data points generated by the cellular network, and assigning GPS coordinates 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 in the city, which acts as a reference location database (instead of the cellular tower location). The mapping process includes recording physical journeys over the roads, railways and paths, in which each cellular signaling message is recorded with a GPS location reference. ➔
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, CitySense correlates it to the exact route it is traveling on. CitySense 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 every 250 meters on average along the route (in urban areas), while tracking the same vehicle as it passes every virtual sensor ➔
Every couple of location points providesan 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 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.
CitySense enables the following use cases:
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.
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
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
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.
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.
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
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.
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
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
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.
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.
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
By using our OD data and travel time data, CitySense 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.
By using our OD data and travel time data, CitySense 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.
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.
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.
CitySense 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 Traffic Control Center (TCC) using standard communication protocols, such as XML. Data format can be at TMDD.
Statistical Reports
CitySense’s 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 above statistics
