Patent ID: 7577513

Claim:
A traffic-information prediction system, comprising: a traffic-information database for recording congestion front-end position data and congestion length data, said congestion front-end position data indicating front-end positions of congestion ranges, said congestion length data indicating lengths of said congestion ranges from said congestion front-end positions, a bottleneck-point detection device for performing clustering of said congestion front-end position data, and outputting representative values in clusters as bottleneck-point position data, a congestion-length correction device for correcting said congestion length data so that said congestion length data indicate lengths of said congestion ranges from said bottleneck-point positions, a prediction-model identification device for identifying a prediction model of said pre-corrected congestion length data by performing a regression analysis in which day factors, which may include day of the week, weekday/holiday, season, days on a commercial calendar, and weather, are defined as independent variables, and a congestion-length prediction device for calculating congestion-length prediction data on a prediction-target day with day factors on said prediction-target day used as input into said prediction model.