Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …

Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

Most existing healthcare accessibility studies ignore the travel time uncertainty that are
commonly encountered in road networks. This study aims to examine the impacts of travel …

Recent advances in the probe vehicle deployment offer an innovative prospect for research
in arterial travel time estimation. Specifically, we focus on the estimation of probability …

Travel time is an important performance measure for transportation systems, and
dissemination of travel time information can help travelers make reliable travel decisions …

Abstract Knowledge of trip travel times serves an important role in transportation
management and control. Existing travel time estimation approaches generally cover …

The increasing availability of opportunistic and dedicated sensors is transforming a once
data-starved transport field into one of the most data-rich. While link-level travel time …

Travel time uncertainty has significant impacts on individual activity-travel scheduling, but at
present these impacts have not been considered in most accessibility studies. In this paper …

This paper proposes an Interactive Multiple Model-based Pattern Hybrid (IMMPH) approach
to predict short-term passenger demand. The approach maximizes the effective information …