Modelling tools and transport models are required to assess the impact of measures for the
effective planning of cycling routes in cities. This paper presents the methodology for …

We develop a personalized system to modify individual travel behaviors by offering
personalized incentives. Individual preferences are learned to provide personalized …

Advances in information and communications technologies, connected vehicle
technologies, and Big Data have made it viable for public agencies to offer efficient flexible …

We present a novel data-driven approach of learning traffic flow patterns of a transportation
network given that many instances of origin to destination (OD) travel demand and link flows …

The rapid introduction of mobile navigation aides that use real-time road network information
to suggest alternate routes to drivers is making it more difficult for researchers and …

This work analyzes the implementation of an artificial mechanism inspired by a biological
somatic marker that ables a passenger agent to both, react to changes in the service, as well …

This paper examines the travelers' day‐to‐day route‐choice behavior with Advanced
Traveler Information Systems (ATIS) through laboratory‐like experimental method. Five …

The constraints of transportation networks are fundamental to disaster planning. Having the
capability of evaluating the emergent dynamics of such networks in the context of large traffic …

In this study, a time-dependent agent-based taxi simulation model was developed. Modeling
of taxi system is a complex task because it is dependent on the spatiotemporal pattern of …

Identifying accurate origin-destination (OD) travel demand is one of the most important and
challenging tasks in the transportation planning field. Recently, a wide range of traffic data …