An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …

Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …

In the MaaS (Mobility as a Service) age, the alternatives of route choice for a trip will not be
the single mode paths, but the combined routes utilizing more than one travel mode in the …

Abstract Massive and passive Automatic Vehicle Identification (AVI) data provides samples
of whereabouts and movements of vehicles, which is a potential source of information for …

The growing popularity of Mobility as a Service (MaaS) has led researchers to realize that it
can be used for the optimal management of the transportation system of a city. This study is …

Public participation plays an important role of traffic planning and management, but it is a
great challenge to collect and analyze public opinions for traffic problems on a large scale …

Urban systems are highly complex and non-linear in nature, defined by the behaviours and
interactions of many individuals. Building on a wealth of new data and advanced simulation …

This paper proposes a probabilistic machine learning methodology to predict travel time and
its variability for trips between locations in New York City. First, a hierarchical Bayesian …

New energy vehicles (NEVs) have emerged as a promising solution to reduce carbon
emissions and address environmental concerns in the transportation sector. In order to …

Most early research on route choice behavior analysis relied on the data collected from the
stated preference survey or through small‐scale experiments. This manuscript focused on …