@article{ref1,
title="Experimental findings with VISSIM and TransModeler for evaluating environmental and safety impacts using micro-simulations",
journal="Transportation research record",
year="2020",
author="Song, Zhijin and Wang, Huizi and Sun, Jian and Tian, Ye",
volume="2674",
number="8",
pages="566-580",
abstract="Micro-simulation packages provide an efficient and systematic approach to depicting traffic dynamics. Nonetheless, many of these models used by the micro-simulation packages are only calibrated with respect to observed traffic indicators such as average speed, traffic count, and so forth, while omitting non-traffic indicators. This paper aims to investigate the performance of VISSIM and TransModeler when depicting non-traffic indicators such as fuel consumption, emissions, and safety. A model was first calibrated for traffic indicators based on Next Generation SIMulation (NGSIM) trajectories. <br><br>RESULTS indicated that after calibration, simulation accuracy was still unsatisfactory with regard to energy consumption and emission measurements, with errors of up to 38.23% in VISSIM. In assessing safety, the relative error of VISSIM increased from 12.36% to 59.92% after calibration. The error in TransModeler increased to almost 100%. Furthermore, this study explored the simulation accuracy of VISSIM and TransModeler under different traffic conditions and discovered that the models' accuracies were relatively high when simulating stop-and-go traffic. We also explored the causes of these observed differences through a regression model. This study presents practical insight into the deficiencies of micro-simulation related research, and based on error analysis, provides a theoretical reference for optimizing simulation accuracy from a novel perspective.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198120925077",
url="http://dx.doi.org/10.1177/0361198120925077"
}