Abstract: The present invention includes systems and methods for detecting a speed limit violation based on the movement of a cell phone in a moving vehicle. The system and method determine whether a speeding violation has occurred based periodic cell phone location data, the time between a cell phone's presence at one location and the next, and the speed limit of the section of a section of road that the cell phone could be located on. Embodiments of systems and methods of the invention detect whether a moving vehicle may be part of a public transit system, in which case the corresponding cell phones are removed from consideration. The system and method also include generating a speeding ticket for a car determined to have violated a corresponding speed limit, keeping a record of a speeding violation, and sending a request to settle the ticket if it is not paid on time.

Abstract: A Multi-Channel Machine Learning system, method and computer program is for automated simultaneous transmission of a number of Buy/Sell orders generated according to differently self-optimized trading parameters for each independent trading strategy. Optimization could be performed according to every optimization method used. Perpetual real-time optimization (or self-optimization) of trading parameters adds Machine Learning feature to the invention and it is done independently for each trading strategy. A centralized trading system is provided for the individual user or organization that wants to perform his trading automatically and completely without human intervention from receiving the data from the central server provider to real-time order execution in computerized financial markets.

Abstract: A computer-based method and system accomplish automatic optimization of a preferred merchandising figure of merit like revenue, profit, etc. by concurrent optimization of prices and in-store promotion schedules for groups of interrelated products in a supermarket or in a chain of supermarkets. The basis of the system is a statistical model that combines effects of prices, promotion schedules and other factors that could influence demands, and produces a flexible nonparametric predictive demand function that can be optimized simultaneously in prices and promotion schedules. The system generates demand predictions for groups of interrelated products by applying data mining procedures to historical database that contains sales data along with various sales conditions, adjusting statistical predictive demand models, and then optimizing them in prices and promotion schedules.

Abstract: A multiobjective management system for saturated traffic road networks comprising: green wave coordination of locally adaptive traffic control units, traffic movement optimization and live traffic route guidance. Current traffic congestion measurements on intersections are generated from local traffic cameras and remote air-borne conventional cameras and thermal sensing imaging cameras or satellite radar such as SAR/ISAR using optical image brightness analysis. At the first stage of traffic optimization, individual local intersection green times are computed based on current traffic congestion level. At the second stage optimization, the central traffic server uses a multiobjective approach to coordinate the current locally-optimized green times of the first stage and create input constraints for green-way coordination of plurality of traffic lights.

Abstract: A computer-implemented method and system for designing transportation routes, wherein design criteria to be met in respect of at least one of said transportation routes are supplied and route profile data are obtained showing land heights at sampled points along each of said at least one transportation route. Per-unit cost estimates in respect of land-cut and land-fill operations are supplied, and a height profile is computed of the at least one transportation route which meets the design criteria and for which the land-cut and land-fill operations are adjusted to give a minimum cost.

Abstract: The invention is a system, method and computer software application for electronic currency trading exchange. It creates a centralized electronic marketplace for currency trading in which a central processing server automatically matches buy and sell orders for a plurality of currency pairs, and where trades registration, clearing and settlement are centrally performed. The invention further provides a method of presentation of foreign exchange currency buy/sell orders and executed trades data displayed by means of graphical user interfaces for showing buy/sell orders prices for all price levels and executed trades prices and volumes. Government central banks, commercial banks and selected brokers-dealers worldwide will participate in trading as Exchange Members of the trading exchange thus enabling them to trade with each other on one centralized currency trading marketplace.

Abstract: A system of cell phone positioning in real time is provided with specialized location device installations on multiplicity of base stations BSs in CDMA and TDMA cellular communication networks. The purpose of the positioning system is to enable tracking and locating large quantities of anonymous mobile cell phones MS in any number of network cells to be used for real time traffic-forecasting systems, emergency services E911, and other client-initiated position requests. Location data thus obtained can be continuously updated from vehicular-based cellular phones, collected, processed and used as a basis for input to intelligent transportation systems, such as real time urban traffic guidance for vehicular congestion and intelligent traffic control systems. The system is capable of covering large urban geographical areas and number of independent cell structures serving thousands of mobile cell phone clients.

Abstract: A computer-based method and system accomplish automatic optimization of a preferred merchandising figure of merit like revenue, profit, etc. by concurrent optimization of prices and in-store promotion schedules for groups of interrelated products in a supermarket or in a chain of supermarkets. The basis of the system is a statistical model that combines effects of prices, promotion schedules and other factors that could influence demands, and produces a flexible nonparametric predictive demand function that can be optimized simultaneously in prices and promotion schedules. The system generates demand predictions for groups of interrelated products by applying data mining procedures to historical database that contains sales data along with various sales conditions, adjusting statistical predictive demand models, and then optimizing them in prices and promotion schedules.

Abstract: The invention is a Machine Learning system, method and computer program for automated transmission of Buy/Sell orders generated according to self-optimized trading parameters. Optimization could be performed according to every optimization method used. Perpetual real-time optimization (or self-optimization) of trading parameters adds Machine Learning feature to the invention. The invention provides a centralized trading system for the individual user or organization that wants to perform his trading automatically and completely without human intervention from receiving the data from the central server provider to real-time order execution in computerized financial markets. The disclosed system is integrated into a network of brokers, banks and other institutions trading on computerized markets. The system receives real-time market quotes information from a data provider remote server and uses it as an input for the defined trading strategies.

Abstract: A method and a system for obtaining optimal range of values for real estate property by using all or some of the admissible appraisal approaches through optimization algorithm. The reliability of factor ranges specific to each appraisal approach is evaluated and discrepant ranges are eliminated. An accurate property valuation through a number of admissible appraisal approaches is possible. Valuation, Feasibility Study, Sensitivity Analysis, value reconciliation and highest and best use are obtained optimally and automatically. Capitalization rate and period are optimized in the relevant approaches.

Abstract: The present invention is remotely controlled automatic optimization system for maximizing in-store net profits by customized script-generated clip promotions to thousands of individually networked retail display-nodes from central server (OptiRetailChain). The computer-based and machine-learning display system includes: an advertising optimization function for display nodes, point of sale (POS) data input, retail database mining engine (RDME), client access and management control module, and in-store networked electronic clip display apparatus. The optimization function obtains data from chain-store database, combines product bundling data, which describe the associative relationships of various product sales in stores with recorded times of sale, inventory costs, margin profits etc. Physical location of purchased products on the store floor-areas are correlated with relevant display-nodes to create optimal clip display program (playlist) configurations for that specific display location and time.

Abstract: Real time vehicle guidance by central traffic unit is provided by a system which includes a central traffic unit, a plurality of vehicles equipped with mobile guidance units, and communication system based on GSM/GPS technology. The central traffic unit maintains the perpetually updated database of travel times for all sections of roads, while mobile guidance units include mobile cell phone handset units communicatively linked to the central traffic unit computer server. Mobile guidance units also comprise smart card capable to detect when a mobile cell phone unit is located in the mounting receptacle. To detect a bottleneck situation when it arises and to estimate a current travel time for a corresponding section of road, the central traffic unit maintains a list of probe vehicles that have recently exited that section.

Abstract: A system and method for controlling traffic flow is disclosed. Location information is obtained and continuously updated from vehicular-based cellular phones. This information is processed and used as an input to Intelligent Transportation Systems, in particular to Real Time Urban Traffic Guidance for Vehicular Congestion and Intelligent Traffic Control Systems. 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 ral time functioning of Intelligent Transportation System, in particular of Intelligent Traffic Control Systems, and Route Guidance Systems.

Abstract: A method for the system wide control of signals in a traffic network in real time to provide an overall reduction in congestion is described. In the method, signals obtained from vehicular-based cellular phones provide location information on moving vehicles and are input into an Intelligent Traffic Control System to provide position information that is stored in the form of records. Mathematical models use those records together with detailed digital maps and algorithms to compute actual travel times consumed by traveling along road sections, by queuing near signalized intersections, and by making various allowed turns and go-throughs in the vicinity of signalized intersection areas. The actual travel times measured for a fixed control time period are compared to the corresponding theoretical travel times and form a basis for a mathematical optimization model.

Abstract: A long-standing problem in traffic control is optimization of the flow of vehicles through a given road network. The present invention describes the network system wide control by means of which real time adjustments of the timings of all signals in a traffic network are made in such a way as to achieve an overall reduction in congestion conditions. First, signals obtained from vehicular-based cellular phones and from GPS based technology whenever available are used for collecting location information on moving vehicles. This location information is obtainable from wireless location systems such as GSM in Europe, CDMA in the USA, or PDC in Japan, and depends on supporting technologies, which are in the process of perpetual improvement. It is further used as an input for an Intelligent Traffic Control System that utilizes the cellular network's capabilities to provide sufficiently reliable position information that is stored in the form of records of vehicle phone coordinates, time stamps, etc.

Abstract: Location information obtained and continuously updated from vehicular-based cellular phones is collected, processed and used as a basis for input to Intelligent Transportation Systems, in particular to Real Time Urban Traffic Guidance for Vehicular Congestion and Intelligent Traffic Control Systems. Location information that forms the basis of the present invention is obtainable from wireless location systems such as GSM in Europe, CDMA in the USA, or PDC in Japan, and depends on supporting technologies, which are in the process of perpetual improvement. Relying on cellular networks location system capabilities to provide moderately reliable position information, the records of vehicle phones coordinates, timing, etc., are collected, updated and stored in the Traffic Service Center database.

Abstract: A system of cell phone positioning in real time is provided with specialized location device installations on multiplicity of base stations BSs in CDMA and TDMA cellular communication networks. The purpose of the positioning system is to enable tracking and locating large quantities of anonymous mobile cell phones MS in any number of network cells to be used for real time traffic-forecasting systems, emergency services E911, and other client-initiated position requests. Location data thus obtained can be continuously updated from vehicular-based cellular phones, collected, processed and used as a basis for input to intelligent transportation systems, such as real time urban traffic guidance for vehicular congestion and intelligent traffic control systems. The system is capable of covering large urban geographical areas and number of independent cell structures serving thousands of mobile cell phone clients.

Abstract: A system and method for real time vehicle guidance by Central Traffic Unit are presented. The proposed vehicle Guidance System includes a plurality of vehicles equipped with Individual Mobile Units including GPS units (position determining systems adapted to determine their present position) and communicatively linked to the Central Traffic Unit computer server. The Central Traffic Unit broadcasts the updated traffic patterns in real time thereby enabling the Individual Mobile Units to dynamically calculate the desired optimal travel paths. In response to a request from a driver for a route update from his present position to a desired destination, the Individual Mobile Unit searches for an optimal (usually fastest) route and shows it to the driver. In route searching by the minimal time criterion, the Individual Mobile Unit relies on estimated travel times stored in its database, and may also use current real time information on bottleneck situations received from Central Traffic Unit.

Abstract: Real time vehicle guidance by central traffic unit is provided by a system which includes a central traffic unit, a plurality of vehicles equipped with mobile guidance units, and communication system based on GSM/GPS technology. The central traffic unit maintains the perpetually updated database of travel times for all sections of roads, while mobile guidance units include mobile cell phone handset units located in mounting receptacles (and used for determining their present position) and communicatively linked to the central traffic unit computer server. Mobile guidance units also comprise smart card capable to detect when a mobile cell phone unit is located in the mounting receptacle. All vehicles in which mobile cell phone units are so located can be used as probe vehicles. The central traffic unit uses those probe vehicles as antennas by tracking their positions for creating and maintaining a network of real time traffic load disposition in various geographical areas.