Measuring user's trust in technology in real-time using psychophysiological signals depends
on the availability of stable, accurate, variance sensitive, and non-bias trust classifier model …

Merging onto highways is a complex task for autonomous vehicles and can cause
catastrophic crashes, especially when considering the high speeds of other vehicles in the …

The highway capacity manual (HCM) provides a formula to calculate the heavy vehicle
adjustment factor (f HV) as a function of passenger car equivalent factors for the heavy …

Managed lanes (MLs) have been implemented as a vital strategy for traffic management and
traffic safety improvement. The majority of previous studies involving MLs have explored a …

Today's urgent need for climate change solutions makes it critical to push for more
sustainable transport solutions in our cities. Autonomous vehicle technology combined with …

In this dissertation, the main objective is to propose innovative data and methods to model
and improve traffic operation and management in three directions: detecting and analyzing …

This research develops a holistic, proactive approach for integrating traffic safety into
transportation planning to effectively evaluate the network-level safety impacts of …

Autonomous Vehicles (AVs) are expected to provide a large number of benefits such as
improving comfort, vehicle safety and traffic flow. AVs use various sensors and control …

Increasing the number of vehicles on the streets is called the problem of urban traffic
congestion. One way to solve this problem is to control the timing of traffic lights. In this …

The mission of the CoEXist project is to systematically increase the capacity of local
authorities and other urban mobility stakeholders to prepare for the transition towards a …