Vehicle trajectory data in Eco-friendly Cooperative Traffic Optimization (EcoTOp) system at signalized intersections

Surface transportation systems (e.g., arterial roadways with signalized
intersections) are inherently inefficient, particularly at higher traffic
volumes. In general, both the infrastructure (e.g., traffic signals) and
the vehicles operate independently, with little coordination between them.
Previous research has shown that implementing strategies that take
advantage of infrastructure-to-vehicle communication can improve overall
mobility and reduce environmental impacts, e.g., the Eco-Approach and
Departure (EAD) application that takes advantage of communicating signal
phase and timing information to the vehicles. In this research, we will
build upon this past research to develop a new cooperative traffic
operation approach that takes advantage of not only
infrastructure-to-vehicle communications, but also
vehicle-to-infrastructure communications. This effort integrates a dynamic
traffic signalization algorithm together with EAD algorithm to achieve
even greater traffic efficiency. The research was carried out in a
high-fidelity simulation environment and shows upwards of 15% fuel savings
and 85% reductions in waiting time. The dataset contain the vehicle
trajectory of all CAVs and non-CAVs in the SUMO-based traffic simulation
from all approaches, with vary penetratin rate at 0% (baseline), 20%, 50%,
80% and 100%.