The most common travel demand model type is the trip‐based model, despite major
shortcomings due to its aggregate nature. Activity‐based models overcome many of the …

Autonomous vehicles (AVs) are expected to play a crucial role in achieving sustainable
transportation in the near future, making it essential to acquire insights into the public's …

Extensive literature already exists on carsharing and other shared modes, but
understanding their effect on the transportation system requires additional work. One main …

Traditionally, time spent travelling has been seen as a 'cost'to the traveller. Autonomous or
fully automated vehicles (FAVs) can free the driver of the driving task and allow engagement …

This paper, for the first time, presents comparable projections of travel behaviour impacts of
the introduction of autonomous vehicles (AVs) into the private car fleet for two countries …

App-driven ridesharing platforms are gaining popularity and are transforming urban
movement patterns in cities throughout the world. Because of privacy and business …

Shared fleets of fully automated vehicles (SAVs) coupled with real-time ride-sharing to and
from transit stations are of interest to cities and nations in delivering more sustainable …

Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic
congestion and urban pollution. In addition to measures such as re-designing …

Abstract Demand Responsive Transport (DRT), covering the first/last mile of a journey, plays
a pivotal role in the delivery of a seamless integrated door-to-door service, which is a …

Agent-based models have gained wide acceptance in transportation planning because with
increasing computational power, large-scale people-centric mobility simulations are …