146 results about "Transportation forecasting" patented technology

A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system platform of a SODMS. Using mobile units, a traffic prediction query is receiving according to a predetermined differential traffic load match process. A match process is performed by each of the mobile units and, according to a match, a predetermined response procedure is enabled, wherein a response procedure in each mobile unit uses a predetermined random process to select an allocated slot in which to transmit a predetermined signal, which provides an improved way to predict traffic in conjunction with off line database statistics, preferably with such that are being adaptively corrected by prior data and method to predict traffic which do not include, or lack sufficient erratic traffic information.

The invention discloses a traffic prediction and control system for vehicle traffic flows at traffic intersections. A method and a traffic prediction and control system (TPCS) for predicting and controlling vehicle traffic flow through a traffic intersection dynamically with proximal traffic intersections are provided. The TPCS dynamically receives sensor data from sensors at a local traffic intersection, determines traffic flow parameters, and determines a traffic flow flux using the traffic flow parameters. The TPCS dynamically receives analytical parameters from sensors at proximal traffic intersections and determines a minimum safe driving distance between leading and trailing vehicles, a traffic free flow density, a synchronized traffic flow density, and a traffic jam density to predict transitions of the vehicle traffic flow across traffic flow phases through the local traffic intersection. The TPCS controls the vehicle traffic flow by dynamically adjusting duration of traffic signals of the local traffic intersection and transmitting traffic signal time adjustment instructions to the proximal traffic intersections to maintain an optimized traffic flow flux.

Real-time high-fidelity spatiotemporal data on transportation networks can be used to learn about traffic behavior at different times and locations, potentially resulting in major savings in time and fuel. Real-world data collected from transportation networks can be used to incorporate the data's intrinsic behavior into a time-series mining technique to enhance its accuracy for traffic prediction. For example, the spatiotemporal behaviors of rush hours and events can be used to perform a more accurate prediction of both short-term and long-term average speed on road-segments, even in the presence of infrequent events (e.g., accidents). Taking historical rush-hour behavior into account can improve the accuracy of traditional predictors by up to 67% and 78% in short-term and long-term predictions, respectively. Moreover, the impact of an accident can be incorporated to improve the prediction accuracy by up to 91%.

In the present invention a traffic information providing apparatus makes a vehicle location and a running date a starting point, and predicts arrival time to each link included in a designated area, based on current traffic information provided by a traffic information center; meteorological forecast information provided by a meteorological information center; and statistical traffic information acquired from a traffic information data base where past traffic information is stored, thereby produces meteorological consideration traffic prediction information of the link, and sends the produced meteorological consideration traffic prediction information to a car navigation device. Then the car navigation device is configured to receive the produced meteorological consideration traffic prediction information and to search a guidance route, based on the produced meteorological consideration traffic prediction information.

A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed. With the present invention, a spatial influence of a section can be used as a spatial operator and a time sequence model can be incorporated, such that the influences on a current section by its neighboring section for a plurality of spatial orders can be taken into account. In this way, the traffic condition in a spatial scope can be measured more practically, so as to improve accuracy of prediction.