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Article

Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran

1
Department of Civil Engineering, University of Zanjan, University Blvd., P.O. Box 313, Zanjan 45371-38791, Iran
2
Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Building A, Suite A124, Tallahassee, FL 32310-6046, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Krzysztof Goniewicz
Received: 28 January 2021 / Revised: 9 March 2021 / Accepted: 10 March 2021 / Published: 15 March 2021
(This article belongs to the Special Issue Transport Systems: Safety Modeling, Visions and Strategies)
Industrialization, urban development, and population growth in the last decades caused a significant increase in congestion of transportation networks across the world. Increasing congestion of transportation networks and limitations of the traditional methods in analyzing and evaluating the congestion mitigation strategies led many transportation professionals to the use of traffic simulation techniques. Nowadays, traffic simulation is heavily used in a variety of applications, including the design of transportation facilities, traffic flow management, and intelligent transportation systems. The literature review, conducted as a part of this study, shows that many different traffic simulation packages with various features have been developed to date. The present study specifically focuses on a comprehensive comparative analysis of the advanced interactive microscopic simulator for urban and non-urban networks (AIMSUN) and SimTraffic microsimulation models, which have been widely used in the literature and practice. The evaluation of microsimulation models is performed for the four roadway sections with different functional classifications, which are located in the northern part of Iran. The SimTraffic and AIMSUN microsimulation models are compared in terms of the major transportation network performance indicators. The results from the conducted analysis indicate that AIMSUN returned smaller errors for the vehicle flow, travel speed, and total travel distance. On the other hand, SimTraffic provided more accurate values of the travel time. Both microsimulation models were able to effectively identify traffic bottlenecks. Findings from this study will be useful for the researchers and practitioners, who heavily rely on microsimulation models in transportation planning. View Full-Text
Keywords: transportation engineering; transportation planning; traffic simulation; microsimulation; SimTraffic; AIMSUN transportation engineering; transportation planning; traffic simulation; microsimulation; SimTraffic; AIMSUN
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MDPI and ACS Style

Rahimi, A.M.; Dulebenets, M.A.; Mazaheri, A. Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran. Infrastructures 2021, 6, 46. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6030046

AMA Style

Rahimi AM, Dulebenets MA, Mazaheri A. Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran. Infrastructures. 2021; 6(3):46. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6030046

Chicago/Turabian Style

Rahimi, Amir M., Maxim A. Dulebenets, and Arash Mazaheri. 2021. "Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran" Infrastructures 6, no. 3: 46. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6030046

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