According to the economic theory assumption, travelers tend to monetize travel time based
on factors related to their individual and trip characteristics. In the literature, a limited number …

This research looks at how spatial factors of public transportation influence the use of bike-
sharing in an urban context. Based on a grid-cell-based method, ordinary least square …

Travelers' behavior is predicted based on their individual preferences. People search for
alternatives to maximize their benefit from doing activities, such as increasing the activity …

Urban plans that will shape the city's future should include sustainable transportation
systems so that it becomes a livable city. Today, delimiting individual transportation and …

In this study, an activity-based travel demand model of the Ústí nad Labem district (Czech
Republic) is created. To do this, an advanced travel demand synthesis process is presented …

At present, smart Homes are receiving more attention as they are becoming the predominant
space that houses people's activities. Even though intelligent home appliances are capable …

Navigating an autonomous vehicle through a circular ramp to join a multilane highway
having high‐density traffic is a very challenging task. Occupant and vehicle safety are the …

An agent-based transport simulation model is used to examine the impacts of Autonomous
Vehicles (AVs) on the mobility of certain groups of people. In the state of the art, it has been …

The primary purpose of this research is to identify trends in the travel activities of millennial
tourists in Jakarta. The research method used in this study is qualitative descriptive by using …

1.1 Background The continuous growth of the population and economy worldwide has led to
an increase in the demand for the transportation sector, resulting in a huge increase in the …