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.