Various forecasting schemes have been proposed to manage traffic data, which is collected
by videos cameras, sensors, and mobile phone services. However, these are not sufficient …

Big data traffic forecasting is considered as one of the most important traffic management
techniques on urban road networks. Big data in intelligent transportation system refers to the …

A procedure for urban route travel time forecast based on advanced traffic data: Case study of
Rome Page 1 Abstract — In this paper, authors report a procedure to forecast the route travel …

Short‐time traffic speed forecasting is a significant issue for developing Intelligent
Transportation Systems applications, and accurate speed forecasting results are necessary …

Traffic prediction in smart cities is an essential way for intelligent transportation system. The
objective of this article is designing and implementing a traffic prediction scheme which can …

Forecasting of traffic conditions plays a significant role in smart traffic management systems.
With the prevalent use of massive vehicle trajectory data, agencies inevitably encounter …

Featured Application The proposed solution presents how to enrich traffic information for
better navigation through waypoints that can be used, eg, in logistics for cost-effective …

Short-term traffic forecast is vital for intelligent transportation systems. In this paper, a short-
term traffic forecast model is proposed for the freeway network. This model proposed travel …

Urban traffic management uses increasingly sophisticated methods to overcome the many
challenges involved in the development of traffic forecasting solutions. The main challenge …

Travel time estimation and prediction on urban arterials is an important component of Active
Traffic and Demand Management Systems (ATDMS). This paper aims in using the …