Read about our technology in New York Times
1. Real-Time Traffic Jam Guidance system
US patent 6,480,783
US patent 6,615,130
that provides mobile phone users with the
quickest route guidance services from journey starting point to destination,
taking into consideration real-time traffic jam conditions including corrections
on demand based on driver’s current location.
Location data could be collected using our patented ( US patent 6,577,946 ) method of obtaining and continuously updating real-time mobile location information, the information used as an input for the traffic jam guidance application. Position information records of vehicle based phone coordinates, timing, etc, are collected from the cellular networks, updated and stored in a database. Those records together with digital maps are fed into mathematical models and algorithms to construct lists of vehicles traveling on various road sections, traffic loads at particular road sections, real time travel times along all road sections resulting from traffic congestion in particular areas, turning loads for signal intersections, for proper functioning of Real-Time Traffic Jam guidance application. The system is equally compatible with the a standard GPS-equipped mobile devices as well as with GSM, CDMA or any other mobile phone systems, since it does not depend on system specific features. The data from moving vehicles is collected and fed into the system continuously. The system filters and cleans the data by applying intelligent heuristic algorithms and produces information on traffic situations in real time that can be supplied to automated traffic controllers. This eliminates the need for developing a dedicated mobile wireless information gathering fleet or other high cost devices requiring a large amount of personnel and long reaction times for traffic events such as accidents and traffic congestion.
2. Statistical Information Gathering for Government Road Design and Traffic Planning Agencies
According to this US-patented system, Makor will sell its real–time traffic jam data to governmental agencies, municipalities, city planners, mobile advertisers.
This product would consist of statistical traffic reports and data collection of vehicle movements along federal, state, municipal and rural regional road networks, the said data is useful for road planning as well as other purposes. This product could also be useful to advertising agencies to correlate the advertising placing along the roads.
At present, these governmental and municipal agencies rely mostly on extensive manpower resources as well as mechanical, electronic and optical installations for obtaining statistical traffic data.
The travel time information used here is obtained by a large number of vehicles and millions or even billions of data points to enable studies of long-term traffic data and their accumulated effects on optimal traffic flows in specific geographical regions. For this application, correlation is developed between vehicle travel times on specific road section and the number of vehicles traveling in that road section at a given time period.
3. Optimization of Traffic Signal Timings in Regional Traffic Control Systems
Traffic Lights Timings Optimization system (US patent 6,539,300
and US patent 9076332) for controlling, adjusting and optimizing phase for controlling and adjusting phase timings
at all signalized intersections within a given geographical region with the
purpose of allocating more green light time for roads with heavier traffic
flows at the expense of less loaded roadways and, by doing so, to relieve
the most jammed parts of the network at the expense of its less loaded parts.
Makor Company will sell the traffic flow information to governmental agencies
in order to help them to control traffic flow by optimizing traffic lights
In system patented in (US patent 6,539,300), signals obtained from vehicular-based cellular phones are used for collecting location information on moving vehicles. This location information is obtainable from wireless location systems such as GSM, CDMA or PDC. All relevant cell phone position data will be obtained directly from the cell phone network operator without any involvement of the individual phone user.
The system is constructing and maintaining of lists of vehicles moving along all road sections at particular periods of time, maintains a series of such lists associated with the previous elapsed time period and calculates estimates of the numbers of vehicles traveling on each particular road section, their actual traveling times, and the turning times and go-through times for all signalized intersections. Thus, the system is able to compute real time traffic loads for various roads and road sections, to generate detailed lists and descriptions of vehicle turning movements, to compute real time turning data for all relevant intersections, and to estimate all other relevant traffic parameters. The resulting information setup is then being transferred to the automated traffic control system for the purpose of adjusting phase timings at signalized intersections for the next control time period. In other words, based on the data on traffic flows obtained for the previous control time period, the system adjusts phase timing at signalized intersections in such a way as to provide more green time for more heavy traffic flows at the expense of less loaded roadways for the next control time period. Roughly speaking, the longer travel time has been registered at a particular turn during the previous control time period, the more green light it is going to get at the next time period. System is taking into consideration different real-world constraints like minimal and maximal values of green light timings, safety constraints expressing minimum number of seconds for intergreen times at each intersection, and other relevant constraints which could be set up individually for any turn and go-through of any signalized intersection, etc.
The system described in (US patent 9076332) provides a comprehensive real time multiobjective management system for traffic control on both local and network level for optimization of entire congested traffic networks and to provide real time traffic route alternatives for drivers to avoid congested traffic zones. The system utilizes local traffic light video cameras for live data collection and performs image brightness analysis to compute current traffic loads on all TL approaches. Traffic data collection in large urban areas is also made possible via remote air-borne cameras and high resolution satellite radars such as synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR). The system uses adaptation of the image brightness analysis to compute vehicle congestion on larger traffic areas covering 10-15 km radius simultaneously. At the 1st stage, the local traffic control system optimizes individual traffic-light control. The local TL controller microprocessor computes allocation of green times for each intersection cycle, the current travel times and recommended speeds on all adjacent approach links. In the second stage multiobjective optimization the local traffic controller dynamically updates central traffic control server. The main function of the central server is to perform the network coordination of a series of individual TLs and their green times according to the current network congestion and to adjust green times of individual TLs when required. Whenever possible the server also optimizes green-wave TL coordination in other saturated directions. At the 2nd stage optimization the server recalculates optimal travel times at individual intersections and green-wave coordination between series of traffic lights and computes recommended speeds on all link directions. The coordinated live traffic data from central server is then updated and broadcasted to all local controllers and to the on-line connected client vehicle guidance units. These units can perform custom searches for route re-planning based on current dynamic route guidance. Continuous broadcasts to plurality of drivers are also made directly to the roadside monitors or hand-held units according to their geographic positions.
4. Traffic Speed Detection Wireless Phone Network-Based System
Makor has developed a system (US patent 7,801,512) for automatic real time traffic speed detection method and system based on wireless phone network capable of detecting a precise speed of the moving vehicle, comparing the received speed with the speed limit for the certain segment of road, determining if the vehicle is moving over the maximal speed limit and generating speeding violation ticket to the owner of the vehicle. This system utilizes a cell phone network in which the location data obtained from moving vehicles is collected continuously and input into the system. This eliminates the need for developing a dedicated mobile wireless information gathering fleet and other high cost devices requiring large capital investments and considerable work force. The need to this automatic method arises from the fact that traffic violation enforcement typically has been and is an increasingly costly and labor-intensive. Over the years, devices have been introduced to improve the detection, documentation, and prosecution of traffic violations. Recently, a number of unmanned camera-based and radar-based systems for detection and documentation of speeding have been installed. These systems will produce visual images of the speeding offense, those images to be processed later by police personnel, producing speeding tickers, which are mailed to the registered owner of the vehicle. However, all the devices and processes still require police personnel attention to process each traffic violation.
Police personnel’ efforts are not only time-consuming but it is also expensive. Additionally, an improved quality and quantity of speeding detections will provide governmental agencies with an ability to generate more speeding violation tickets; hence more money will be obtained by those agencies.
The system uses wireless networks as the sole means to provide precise location information. Technologically, this may be achieved by measuring the distances the signals traveling between a moving wireless phone and a fixed set of base stations, and the times these signals take to travel. This information may then be applied to mathematical and statistical methods to solve the resulting equations. signals obtained from vehicular-based cellular phones provide speed information on moving vehicles, are input into a Moving Vehicle Speed Detection system, and they are stored into the system database to provide speed information that is stored in the form of records.
Another database is used in our system which contains the detailed speed limit data corresponding to all roads sections of the digital map database.
Records obtained from database of speed measurements and database of speed limits for certain section of road then used together to compare actual speed data detected from a certain vehicle traveling along certain road section against the maximal speed limits for that road section
Privacy Protection Issues: We understand the needs of privacy of mobile phone users and, therefore, we will receive all the location information anonymously, (without user's name) for statistical and real-time analysis only.