We propose an efficient truck trip chaining method to model freight fleet electrification using
an agent-based simulation tool to simulate passenger and truck tours. The estimated truck …

The majority of research analyzing autonomous vehicle impacts focuses on an automated,
connected, electrified, and shared future. Yet, conventional private vehicle ownership and its …

Traffic congestion is a frequent problem on most urban roads. This may be due to incorrect
configuration of traffic signals but planning analysis should also include a study of human …

Advanced driver assistance system (ADAS) technology offers potentially transformative
societal impacts, including significant mobility, road safety, and environmental benefits …

Efficient dynamic ride-matching (DRM) in large-scale transportation systems is a key driver
in transport simulations to yield answers to challenging problems. Although the DRM …

The digitalisation of the environment surrounding human beings in their daily life is a major
challenge facing today's technological progress. Building digital replicas of humans and …

Autonomous vehicles (AVs) occupy a crucial part of the emerging mobility. Currently, the
potential impacts of self-driving fleets are of great interest to public bodies and authorities …

The growing technology access and effects of social distancing policies during the COVID-
19 pandemic significantly increased the demand for online purchases. Understanding the …

ABSTRACT Transportation Network Companies (TNCs) have been steadily increasing the
share of total trips in metropolitan areas across the world. Micro-modeling TNC operation is …

ABSTRACT 1 This study looks at the concept of equity in the context of urban transportation,
particularly focus-2 ing on Mobility on-Demand (MoD) simulations. MoD services, such as …