Impact of Mixed Traffic Flow Involving Connected Automated Vehicles and Human-Driven Vehicles at Roll-On and Roll-Off Ports
Year: 2025
Type: article
Abstract: This study investigates the impact of mixed traffic flow involving connected automated vehicles (CAVs) and human-driven vehicles (HDVs) at roll-on and roll-off (Ro-Ro) ports. Using the simulation of urban mobility with a traffic control interface, we developed port environments incorporating various car-following models. We analysed the efficiency of port operations under mixed traffic scenarios with increasing CAV penetration rates. The findings demonstrate significant improvements in productivity and reductions in emissions and fuel consumption as CAV penetration increases. Specifically, 100% penetration of CAVs leads to a productivity increase of up to 71.14%, a substantial decrease in carbon monoxide, hydrocarbons and nitrogen oxide emissions as well as a reduction in fuel consumption by over 70% in a double-ramp scenario. This study provides valuable insights into the practical implementation and phased transition towards fully automated vehicle operations in Ro-Ro ports.
Source: IEEE Access
Authors: Sang Hyung Park, Sihyun Kim
Institution: Korea Maritime and Ocean University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
Funder: Ministry of Oceans and Fisheries
OpenAlex ID: W4408941353
