摘要: |
Travel times on preset highway itineraries are one of the most tangible outputs of Intelligent Transportation Systems (ITS). Travel times constitute an effective metric to describe level of service on roadways. It is a fine indicator of congestion and is well understood by the traveling public. Under this research the current capabilities of Caltrans to collect accurate travel time estimates on the highway network, and to identify the technologies and business models that could most effectively enhance these capabilities were assessed. The results of this report, includes the following elements: A look at the value of travel time information, which is clearly associated with the quality of the underlying data; A survey of technologies available to collect traffic data; A series of systematic studies to characterize the quality of travel time information and evaluate its range;An industry level effort conducted through the North American Traffic Working Group (NATWG) to harmonize data quality benchmarking practices. This report investigates point detection, probe data, and segment detection. It concludes that a fusion of the data provided by these technologies would provide the best results in terms of travel time accuracy, reliability, and relevance. Data collected from cell phones and other connected device is limited to velocity information. Operators have traditionally relied on detection systems that provide measures of traffic flow and occupancy rate. It is unlikely and probably not even desirable that phone originating data will. |