TrafficSense monitors population movements in all transportation modes and provides state of the art data and tools to best manage and optimize traffic and transportation for the entire metro area. TrafficSense connects to the main switching centers of the mobile network and tracks 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.
TrafficSense
Best Data for Traffic Management
and Transportation Planning
and Transportation Planning
TrafficSense key deliveries:
Real time speed, travel time and immediate 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
Micro-level origin destination analysis for traffic signal timing and congestion mitigation
How it works:
TrafficSense 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 of the routes, 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, TrafficSense correlates it to the exact route it is traveling on. TrafficSense 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 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 owner lives, works, travel, how and why. Data is provided for all highway, railways, arterials and relevant surface streets. The data quality was validated by many road agencies, departments of transportations and municipalities to match road sensors data quality
How it works:
TrafficSense 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 of the routes, 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, TrafficSense correlates it to the exact route it is traveling on. TrafficSense 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 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 owner lives, works, travel, how and why. Data is provided for all highway, railways, arterials and relevant surface streets. The data quality was validated by many road agencies, departments of transportations and municipalities to match road sensors data quality
TrafficSense 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
TrafficSense 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 Maps/Earth
Report generation of origin destination studies for all transportation modes for a junction level, corridor level, city level 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.
Distribution Platform
TrafficSense’s online distribution platform, which enables multi-customer access to information via internet.
Statistical Reports
Statistical reports of origin destinations, speeds and slowdowns in XLS and CSV formats
Cellint's Interface
Direct connection to Cellint’s Customer Interface client application
