10.6086/D10M3D
Wu, Guoyuan
0000-0001-6707-6366
University of California, Riverside
Zhao, Zhouqiao
0000-0002-5286-3807
University of California, Riverside
PTV VISSIM simulation data for efficient eco-ramp control project funded
by NCST 18-19
Dryad
dataset
2019
2019-10-20T00:00:00Z
2019-10-20T00:00:00Z
en
45327023 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Our current transportation system faces a variety of issues in terms of
safety, mobility, and environmental sustainability. The emergence of
innovative intelligent transportation system (ITS) technologies such as
connected and automated vehicles (CAVs) and transportation electrification
unfold unprecedented opportunities to address aforementioned issues. In
this project, we propose a hierarchical ramp control system that not only
allows microscopic cooperative maneuvers for connected and automated
electric vehicles (CAEVs) on the ramp to merge into mainline traffic flow
under certain controlled ramp inflow rate, but also enables macroscopic
corridor-level traffic flow control (i.e., coordinated ramp metering rate
determination). A centralized optimal control-based approach is proposed
to both smooth the merging flow and improve the system-wide mobility of
the network. Linear quadratic trackers in both finite horizon and receding
horizon forms are developed to solve the optimization problem in terms of
path planning and sequence determination, and a microscopic electric
vehicle (EV) energy consumption model is applied to estimate the energy
consumption. Finally, traffic simulation is conducted through PTV VISSIM
to evaluate the impact of the proposed system on a highway segment. The
results confirm that under the regulated inflow rate, the proposed system
can avoid potential traffic congestion and improve mobility significantly
up to 102% compared to the conventional ramp metering and the ramp without
any control approach.