This paper reviews previous research on modelling learning and adaptation in
transportation contexts. In addition, it provides a framework for modelling these processes in …

An agent-based model is presented of the transition of a personal transportation system
based on conventional fuels to one based on an alternative fuel, such as hydrogen …

Existing learning and adaptive behavior models are typically derived from reinforcement
learning from actual experiences in dynamic non-stationary environments. When the …

The provision of travel information may serve as a means of changing the behavior of
individual travelers in ways that are beneficial to the transportation system at large. On the …

Existing policy models of optimal guidance strategies are typically concerned with single-
objective optimization based on reliable forecasts in terms of the consistency between …

Congestion in capacity-constrained urban environments is essentially the aggregate
outcome of choices that individuals make in self-interest while assuming that others do the …

为了更加准确地估计疏散需求分布以及路网清空时间, 提高台风疏散的效率,
考虑被疏散个体做出疏散时间策略的主观选择, 从而达到被疏散人口撤离的均衡分布 …

Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the
transport in ci ties is one of the major tactics to achieve the UK government 2020 target of …

Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the
transport in cities is one of the major tactics to achieve the UK government 2020 target of …

Recent developments in information and communication technologies (ICT) and increasing
availability of such technologies intensify the opportunity for providing advanced travel …