@article{ref1,
title="Deriving environment friendly speed limit scheme using integrated traffic simulation framework",
journal="Journal of the Air and Waste Management Association (1995)",
year="2021",
author="Zhang, Xinxin and Yang, Yanni and Shang, Huayan and Zhang, Jun",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Traffic authorities have taken various measures to mitigate vehicular-source pollution emissions, among which setting speed limits has been proved to be  effective. However, most of the existing macroscopic research propose idealized  mathematical models to design optimal speed limit from the perspective of network  equilibrium, and the simplified pollution emission functions cannot accurately  reflect the emission mechanism. In order to improve the accuracy of emission  calculation and obtain more reliable speed limit schemes in a large-scale network,  an integrated traffic simulation approach was proposed herein to derive  environment-friendly road speed limit schemes. First, this paper built an integrated  simulation framework to portray traffic operations and emissions comprehensively. Subsequently, a toy network was employed to demonstrate how to obtain  environment-friendly speed limit schemes using this framework. Then this paper  utilized it to determine the corresponding optimal speed limit schemes on the Second  Ring road network in Beijing under different scenarios. The results indicated that  traffic authorities should impose adaptive rather than fixed speed limits according  to traffic period and emission reduction priority. Moreover, imposing the derived  speed limit schemes, the amounts of total emissions, hydrocarbons, carbon monoxide,  nitrogen oxides, carbon dioxide, and fine particulate matter decreased by 2.24%,  0.72%, 0.13%, 1.61%, 2.32%, and 5.35% during peak hour, and by 8.31%, 0.60%, 1.92%,  7.16%, 8.60%, and 8.72% during off-peak hour respectively.<p /> <p>Language: en</p>",
language="en",
issn="1096-2247",
doi="10.1080/10962247.2021.1874567",
url="http://dx.doi.org/10.1080/10962247.2021.1874567"
}