While activity-based travel demand generation has improved over the last few decades, the
behavioural richness and intuitive interpretation remain challenging. This paper argues that …

Transformative technologies like automated vehicles, and emerging services like mobility-on-
demand and ride-sharing, are changing the ecosystem of urban mobility. Land use-transport …

Traditionally, transport planning model systems are estimated and calibrated in an
unstructured way, which does not allow for interactions among included parameters to be …

This article presents an agent-based travel demand model, where agents react to transport
supply across all mobility choices. Long-term choices include mobility tool ownership and …

The application of travel demand models to transportation planning has triggered great
interests in issues that potentially improve the accuracy of model forecasts. These forecasts …

A dynamic, gap-based activity scheduling model is developed for predicting out-of-home
non-work/school (NWS) episodes over a day. In the developed model, work/school, and …

This paper presents a microscopic travel demand model, which simulates the entire
population of Switzerland as individual agents. For each agent, all mobility decisions are …

In this paper, a novel transport planning model system (TPMS) is formulated built on the
concepts of network, multi-modality, integrity and instant calibration. In the proposed …

This study proposes a new household optimum (HO) utility approach to model the intra-
household interactions between household members by heterogeneous household type …

Mumbai is one of the major cities in India, where the traffic volume is constantly being
increased because of urbanization trend and changes in the socio-economic status of the …