The cooperative automation of connected and autonomous vehicles (CAVs) has great
potential to address a number of safety, mobility, and sustainability issues of our current …

Energy consumption of vehicles at signalized intersections is highly influenced by
acceleration/deceleration maneuvers and idling time. Existing research on fuel-efficient …

Fuel consumption and travel time of a vehicle are significantly influenced by driving
behavior, especially when approaching a signalized intersection. Injudicious driving …

Electric Connected and Autonomous Vehicles (CAVs) that maximize energy efficiency can
be considered an integrated approach to meet the various trends, mainly green and digital …

Fuel consumption and emissions of a vehicle are greatly infulenced by driving behavior. In
particular, signalized intersections, roundabouts, and roadgeometry characteristics, such as …

Eco-driving strategy for connected and automated vehicle (CAV) has the potential to mitigate
traffic congestion and fuel consumption. Despite abundant studies in this field, most of them …

Surface transportation systems (eg, arterial roadways with signalized intersections) are
inherently inefficient, particularly at higher traffic volumes. In general, both the infrastructure …

Vehicle driving patterns greatly impact the sustainability of the transportation system. Based
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …

This PhD dissertation enhances the human-centered design of existing dynamic eco-driving
systems, and models driver adaptation to energy-efficient speed advice upstream of …

Abstract" Human-vehicle-road" collaborative optimization is an important issue in current
research. And the topic of how to build an appropriate driver model integrating future traffic …