@article{ref1,
title="Modeling heterogeneous traffic with cooperative adaptive cruise control vehicles: a first-order macroscopic perspective",
journal="Transportation planning and technology",
year="2020",
author="Laan, Zachary Vander and Schonfeld, Paul",
volume="43",
number="2",
pages="113-140",
abstract="This paper proposes a modeling framework to characterize steady-state traffic flow relations for heterogeneous traffic composed of both standard (S) and Cooperative Adaptive Cruise Control (CACC, labeled C here) vehicles, capturing the impact of C market penetration and vehicle sequence within a lane. The resulting parameterized fundamental diagram is then integrated with a first-order macroscopic traffic model, allowing us to characterize the operational performance on a network for heterogeneous traffic with varying C market penetration rates. This approach is demonstrated through an illustrative case study which considers a small freeway section with time-varying demand, merging traffic from an entrance ramp, and C market penetration ranging from 0.0-1.0. The results indicate that maximum throughput does not change appreciably as C traffic is first introduced, but eventually increases significantly for mid-to-high C penetration rates. Additionally, it shows that increasing C market penetration and separating vehicle classes slows upstream congestion propagation.<p /> <p>Language: en</p>",
language="en",
issn="0308-1060",
doi="10.1080/03081060.2020.1717127",
url="http://dx.doi.org/10.1080/03081060.2020.1717127"
}