Case Studies
Jan 9, 2015

Developing a 24-Hour Large-Scale Microscopic Traffic Simulation Model for the Before-and-After Study of a New Tolled Freeway in the Washington, DC–Baltimore Region

Publication: Journal of Transportation Engineering
Volume 141, Issue 6

Abstract

For determining highly disaggregate details about traffic dynamics, microscopic traffic simulation has long proven to be a valuable tool for the evaluation of development plans and operation/control strategies. With recent advances in computing capabilities, research interest in large-scale microscopic simulation has never been greater. This case study develops a 24-h large-scale microscopic traffic simulation model for the Washington, DC, metropolitan area. The model consists of over 7,000 links, 3,500 nodes, 400 signalized intersections, and over 40,000 origin-destination pairs. Various field measurements, such as time-dependent traffic counts and corridor travel times, have been used for model calibration/validation. The EPA’s Motor Vehicle Emission Simulator is linked with the microscopic simulation model for the estimation of environmental impacts. The calibrated model system has been used to comprehensively evaluate a newly built toll road in Maryland, the Intercounty Connector. Various network-level and corridor-level performance measures are quantified. The case study demonstrates the feasibility and capability of large-scale microscopic simulation in transportation applications. It establishes an example for modelers and practitioners who are interested in constructing a large-scale model system. The developed 24-h simulation model system of traffic and emissions has the potential to serve as a test bed for integration with other analysis tools, such as behavioral and optimization models.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research is financially supported by Maryland SHA. The opinions in this paper do not necessarily reflect the official views of SHA. The authors are solely responsible for all statements in this paper. SHA assume no liability for the content or use of this paper. The authors would like to thank the Maryland SHA who supported the whole study, Meseret Seifu at MWCOG for providing the MWCOG transportation planning model, and Qi Yang, Daniel Morgan, and Zheng Wei at Caliper Corporation, who patiently offered technical guidance for TransModeler. The authors are grateful to the two anonymous reviewers for their valuable comments in helping the authors to enhance the quality of the manuscript.

References

Abou-Senna, H., Radwan, E., Westerlund, K., and Cooper, C. D. (2013). “Using a traffic simulation model (VISSIM) to predict emissions from vehicles on a limited-access highway.” J. Air Waste Manage. Assoc., 63(7), 819–831.
Algers, S., et al. (1998). “A review of micro-simulation models.” SMARTEST Project Deliverable D-3, Transport Studies, Univ. of Leeds, Leeds, U.K.
Balakrishna, R., Antoniou, C., Ben-Akiva, M., Koutsopoulos, H. N., and Wen, Y. (2007). “Calibration of microscopic traffic simulation models: Methods and application.”, Transportation Research Board, Washington, DC, 198–207.
Boriboonsomsin, K., and Barth, M. (2008). “Impacts of freeway high-occupancy vehicle lane configuration on vehicle emissions.” Transp. Res. Part D., 13, 112–125.
Chen, A., Lee, D. H., and Jayakrishnan, R. (2002). “Computational study of state-of-the-art path-based traffic assignment algorithms.” Math. Comput. Simul., 59(6), 509–518.
Chen, K., and Yu, L. (2007). “Microscopic traffic-emission simulation and case study for evaluation of traffic control strategies.” J. Transp. Syst. Eng. Inf. Technol., 7(1), 93–99.
Dowling, R. G., McLeod, D., Guttenplan, M., and Zegeer, J. D. (2002). “Multimodal corridor level-of-service analysis.”, Transportation Research Board, Washington, DC, 1–6.
Jha, M., Gopalan, G., Garms, A., Mahanti, B. P., Toledo, T., and Ben-Akiva, M. E. (2004). “Development and calibration of a large-scale microscopic traffic simulation model.”, Transportation Research Board, Washington, DC, 121–131.
Joumard, R., Philippe, F., and Vidon, R. (1999). “Reliability of the current models of instantaneous pollutant emissions.” Sci. Total Environ., 235(1), 133–142.
Khalili, M., and Khaksar, H. (2012). “The application of micro simulation software for improving the traffic network in Iran (case study of Langroud City).” Transp. Res., 2(1), 37–50.
Koupal, J., Cumberworth, M., Michaels, H., Beardsley, M., and Brzezinski, D. (2003). “Design and implementation of MOVES: EPA’s new generation mobile source emission model.” 2003 Int. Emission Inventory Conf., San Diego.
Levinson, D., Xie, F., and Oca, N. M. (2012). “Forecasting and evaluating network growth.” Networks Spatial Econ., 12(2), 239–262.
Motor Vehicle Emission Simulator (MOVES) [Computer software]. Washington, DC, Environmental Protection Agency.
Oketch, T., and Carrick, M. (2005). “Calibration and validation of a micro-simulation model in network analysis.” Transportation Research Board 84th Annual Meeting, Transportation Research Board, Washington, DC.
Paramics [Computer software]. Edinburgh, U.K., Quadstone Paramics.
Rakha, H., Van Aerde, M., Bloomberg, L., and Huang, X. (1998). “Construction and calibration of a large-scale microsimulation model of the Salt Lake area.”, Transportation Research Board, Washington, DC, 93–102.
Smith, M., Sadek, A. W., and Huang, S. (2008). “Large-scale microscopic simulation: Toward an increased resolution of transportation models.” J. Transp. Eng., 273–281.
Toledo, T., Ben-Akiva, M., Darda, D., Jha, M., and Koutsopoulos, H. (2005). “Calibration of microscopic traffic simulation models with aggregate data.”, Transportation Research Board, Washington, DC, 76–84.
TransModeler [Computer software]. Newton Square, MA, Caliper Corporation.
VisSim [Computer software]. Westford, MA, Visual Solutions.
Wojtowicz, J., Wallace, W., Murrugarra, R. I., Sheckler, R., and Morgan, D. (2011). “The role of transportation in responding to a catastrophe at a planned special event.” DHS Science Conf. and 5th Annual University Network Summit, Washington, DC.
Xie, F., and Levinson, D. (2011). “Evaluating the effects of the I-35 W bridge collapse on road-users in the twin cities metropolitan region.” Transp. Plann. Technol., 34(7), 691–703.
Xie, Y., Chowdhury, M., Bhavsar, P., and Zhou, Y. (2012). “An integrated modeling approach for facilitating emission estimations of alternative fueled vehicles.” Transp. Res. Part D, 17(1), 15–20.
Zhang, L., et al. (2013). “Integrating an agent-based travel behavior model with large-scale microscopic traffic simulation for corridor-level and subarea transportation operations and planning applications.” J. Urban Plann. Dev., 94–103.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 141Issue 6June 2015

History

Received: Nov 6, 2013
Accepted: Nov 24, 2014
Published online: Jan 9, 2015
Published in print: Jun 1, 2015
Discussion open until: Jun 9, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

Chenfeng Xiong, S.M.ASCE
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742.
Zheng Zhu
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742.
Xiang He
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742.
Xiqun Chen
Research Associate, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742.
Shanjiang Zhu
Assistant Professor, Dept. of Civil, Environmental, and Infrastructure Engineering, George Mason Univ., MS 6C1, Fairfax, VA 22030.
Subrat Mahapatra
Team Leader, Travel Forecasting and Analysis Division, Office of Planning and Preliminary Engineering, Maryland State Highway Administration, 707 N. Calvert St., Baltimore, MD 21202.
Gang-Len Chang, M.ASCE
Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742.
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn Martin Hall, College Park, MD 20742 (corresponding author). E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share