Abstract: Understanding and predicting individual mode choice decisions can help address issues ranging from forecasting demand for new modes of transport to understanding the underlying traveler behavior and characteristics. Early ...

Abstract: Research on short-term traffic conditions prediction has been largely concerned with parameters such as flow, occupancy, and speed, ignoring at the same time predictions during congestion, a period when predictions are ...

Abstract: In an era of continuous growth in mobility and demand for transportation, safety is an issue of major social concern and an area of extensive research and work by practitioners and academics. Emergency response services ...

Abstract: Reducing the cost of operations is one of the most important considerations for urban transport systems. Deadhead kilometer costs are an important aspect of operating costs and are associated with buses traveling empty to ...

Abstract: An effective public transportation management system (PTMS) requires accurate and efficient models for the prediction of rolling-stock conditions. If the state of any given rolling-stock unit is known, its future condition ...

Abstract: Security of transportation infrastructure is of primary importance in recent years as a result of various breaches worldwide. Increased security concerns lead transportation authorities to improve, upgrade, and enhance ...

Abstract: Statistical models of infrastructure facility deterioration are typically estimated using panel data sets of in-service facilities. For example, biannual ratings of bridges have been used to develop discrete models of ...

Abstract: Acceptability is considered the most important barrier in establishing a congestion pricing scheme. Using data from an extensive questionnaire survey conducted in the central area of Athens, Greece, in 2008, this paper ...