Reference
A. Jamshidnejad, I. Papamichail, M. Papageorgiou, and B. De Schutter, "A
mesoscopic integrated urban traffic flow-emission model,"
Transportation Research Part C, vol. 75, pp. 45-83, Feb.
2017.
Abstract
Due to the noticeable environmental and economical problems caused by traffic
congestion and by the emissions produced by traffic, analysis and control of
traffic is essential. One of the various traffic analysis approaches is the
model-based approach, where a mathematical model of the traffic system is
developed/used based on the governing physical rules of the system. In this
paper, we propose a framework to interface and integrate macroscopic flow
models and microscopic emission models. As a result, a new mesoscopic
integrated flow-emission model is obtained that provides a balanced trade-off
between high accuracy and low computation time. The proposed approach considers
an aggregated behavior for different groups of vehicles (mesoscopic) instead of
considering the behavior of individual vehicles (microscopic) or the entire
group of vehicles (macroscopic). A case study is done to evaluate the proposed
framework, considering the performance of the resulting mesoscopic integrated
flow-emission model. The traffic simulation software SUMO combined with the
microscopic emission model VT-micro is used as the comparison platform. The
results of the case study prove that the proposed approach provides excellent
results with high accuracy levels. In addition, the mesoscopic nature of the
integrated flow-emission model guarantees a low CPU time, which makes the
proposed framework suitable for real-time model-based applications.
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BibTeX
@article{JamPap:16-026,
author = {Jamshidnejad, Anahita and Papamichail, Ioannis and Papageorgiou,
Markos and De Schutter, Bart},
title = {A Mesoscopic Integrated Urban Traffic Flow-Emission Model},
journal = {Transportation Research Part C},
volume = {75},
pages = {45--83},
month = feb,
year = {2017}
}