초록 ▼

A remote traffic data acquisition and intelligent vehicle highway system for highway vehicles is provided. In-vehicle devices compute time-related vehicle locations on a digitized road network map using information received from a global position system (GPS) and transmit the time-related vehicle lo

A remote traffic data acquisition and intelligent vehicle highway system for highway vehicles is provided. In-vehicle devices compute time-related vehicle locations on a digitized road network map using information received from a global position system (GPS) and transmit the time-related vehicle locations to a traffic service center. The traffic service center collects the data from all equipped vehicles that travel the roadway system in an area within range, processes the data and provide a real-time traffic forecasts. The in-vehicle devices receive the digitized road network map as well as the real-time traffic forecasts and provide route guidance and related services for the drivers using the traffic forecast information. The traffic forecast is based on projections from normal traffic conditions retrieved from archived data adjusted by factors related to real-time situations. The system provides a practical and economic solution for an intelligent highway vehicle system.

대표청구항 ▼

1. A method for forecasting road traffic comprising the steps of:(a) periodically collecting vehicle position data at a traffic service center, the vehicle position data being dynamically reported by equipped vehicles travelling roads in a given area, the equipped vehicles being adapted to receive g

1. A method for forecasting road traffic comprising the steps of:(a) periodically collecting vehicle position data at a traffic service center, the vehicle position data being dynamically reported by equipped vehicles travelling roads in a given area, the equipped vehicles being adapted to receive geographical position data into relative vehicle position data to determine a position of the vehicle with respect to a digitized road network of nodes interconnected by straight links, the links indicating traffic directions between the nodes, the vehicle position data reported including only data related to the nodes, the geographical position data being received and converted into a relative position on the digitized road network at a predetermined collection interval (CI) and the vehicle position data being reported at a predetermined reporting interval (RI), wherein RI>CI; (b) computing at the traffic service center using the vehicle position data real travel time of vehicles travelling the links; (c) accounting at the traffic service center a set of real travel time samples for a link L1 from real travel times related to a given time interval starting at or including a time t on a given day D of a week; and (d) calculating at the traffic service center an average travel time T1 for the link L1 using the set of real travel time samples at a time t on the day D, and storing the average travel time T1 for use in predicting a travel time for the link L1.