Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online April 28, 2019

Assessment of Corridors with Different Types of Intersections: Environmental and Traffic Performance Analysis

Abstract

Recently, roundabouts in a series have been installed along corridors to enhance road safety. However, the benefits of this traffic-calming technique on traffic performance and pollutant emissions compared with other forms of intersections, such as traffic lights and stop-controlled solutions, are not properly known. This study used a microscopic approach to evaluate the effects of a corridor with four roundabouts on traffic performance and emissions, in comparison with traffic lights and stop-controlled solutions. Average travel time and number of vehicle stops were used as measures of traffic performance; carbon dioxide, monoxide carbon, nitrogen oxides, hydrocarbons, and particulate matter were used to quantify emissions. The traffic and emissions performance of each solution was evaluated on three levels: (a) arterial, (b) intersection, and (c) morning peak versus evening peak periods. It was found that, regardless of the time period, traffic lights in corridors at the arterial level produced higher total emissions (> 6%), while stop-controlled intersections produced lower emissions (≈12%) compared with roundabouts, mainly because of unbalanced traffic flows between main and minor roads. The results for traffic performance showed advantages in implementing roundabouts when the main concern was the number of vehicle stops. At the intersection level, an emissions improvement (between 2% and 14%) was observed at traffic lights on four-leg intersections.

Get full access to this article

View all access and purchase options for this article.

References

1. Ariniello A. J. Are Roundabouts Good for Business? LSC Transportation Consultants, Inc., Denver, Colo., 2004.
2. Rodegerdts L.A., Jenior P. M., Bugg Z. H., Ray B. L., Schroeder B. J., and Brewer M.A. NCHRP Report 772: Evaluating the Performance of Corridors with Roundabouts. Transportation Research Board of the National Academies, Washington, D.C., 2014.
3. Coelho M. C., Farias T. L., and Rouphail N. M. Effect of Roundabout Operations on Pollutant Emissions. Transportation Research Part D: Transport and Environment, Vol. 11, No. 5, 2006, pp. 333–343.
4. Ahn K., Kronprasert N., and Rakha H. A. Energy and Environmental Assessment of High-Speed Roundabouts. In Transportation Research Record: Journal of the Transportation Research Board, No. 2123, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 54–65.
5. Chamberlin R., Swanson B., Talbot E., Dumont J., and Pesci S. Analysis of MOVES and CMEM for Evaluating the Emissions Impact of an Intersection Control Change. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011.
6. Coelho M. C., Rouphail N. M., and Farias T. L. Relating Quality of Service and Pollutant Emissions at Roundabouts. Presented at 5th International Symposium on Highway Capacity and Quality of Service, Yokohama, Japan, 2006.
7. Vlahos E., Polus A., Lacombe D., Ranjitkar P., Faghri A., and Fortunato B. R. III. Evaluating the Conversion of All-Way Stop-Controlled Intersections into Roundabouts. In Transportation Research Record: Journal of the Transportation Research Board, No. 2078, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 80–89.
8. Rakha H. A., and Jackson M. Are Roundabouts Environmentally Friendly? An Evaluation for Uniform Approach Demands. Presented at 91st Annual Meeting of the Transportation Research Board, Washington, D.C., 2012.
9. Rakha H., Wang Z., and Boon T. O. Roundabout Versus Traffic Signal Control: Comparative Analysis. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2013.
10. Anya A. R., Rouphail N. M., Frey H. C., and Liu B. Method and Case Study for Quantifying Local Emissions Impacts of Transportation Improvement Project Involving Road Realignment and Conversion to Multilane Roundabout. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2013.
11. Gastaldi M., Meneguzzer C., Rossi R., Lucia L. D., and Gecchele G. Evaluation of Air Pollution Impacts of a Signal Control to Roundabout Conversion Using Microsimulation. Presented at 17th Annual Meeting of the EURO Working Group on Transportation, Seville, Spain, 2014.
12. Barth M., and Boriboonsomsin K. ECO-ITS: Intelligent Transportation System Applications to Improve Environmental Performance. Publication FHWA-JPO-12-042, FHWA, U.S. Department of Transportation, 2012.
13. Xia H., Boriboonsomsin K., and Barth M. Dynamic Eco-Driving for Signalized Arterial Corridors and Its Indirect Network-Wide Energy/ Emissions Benefits. Journal of Intelligent Transportation Systems, Vol. 17, No. 1, 2013, pp. 31–41.
14. Hallmark S. L., Fitzsimmons E. J., Isebrands H. N., and Giese K. L. Roundabouts in Signalized Corridors: Evaluation of Traffic Flow Impacts. In Transportation Research Record: Journal of the Transportation Research Board, No. 2182, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 139–147.
15. Hallmark S. L., Wang B., Mudgal A., and Isebrands H. On-Road Evaluation of Emission Impacts of Roundabouts. In Transportation Research Record: Journal of the Transportation Research Board, No. 2265, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 226–233.
16. Krogscheepers J. C., and Watters M. Roundabouts Along Rural Arterials in South Africa. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
17. Traffic Engineering Manual. Section 3: Signals. Florida Department of Transportation, Tallahassee, 2014.
18. VISSIM Users Guide. VISSIM 5.30-05 User Manual. PTV Planung Transport Verkehr AG, Karlsruhe, Germany, 2011.
19. Bared J. G., and Afshar A. M. Using Simulation to Plan Capacity Models by Lane for Two- and Three-Lane Roundabouts. In Transportation Research Record: Journal of the Transportation Research Board, No. 2096, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 8–15.
20. Fontes T., Fernandes P., Rodrigues H., Bandeira J. M., Pereira S. R., Khattak A. J., and Coelho M. C. Are HOV/Eco-Lanes a Sustainable Option to Reducing Emissions in a Medium-Sized European City? Transportation Research Part A: Policy and Practice, Vol. 63, 2014, pp. 93–106.
21. Paz A., Molano V., and Khan A. Calibration of Micro-Simulation Traffic-Flow Models Considering All Parameters Simultaneously. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
22. Dowling R., Skabardonis A., and Alexiadis V. Traffic Analysis Toolbox, Volume III: Guidelines for Applying Traffic Microsimulation Software. Publication FHWA-HRT-04-040, FHWA, U.S. Department of Transportation, 2004.
23. Hale D. How Many Netsim Runs Are Enough? McTrans, Vol. 11, No. 3, 1997, pp. 1–9.
24. Cambridge Systematics Inc. Travel Model Validation and Reasonableness Checking Manual. Publication FHWA-HEP-10-042, FHWA, U.S. Department of Transportation, 2010.
25. North Carolina State University. Methodology for Developing Modal Emission Rates for EPA's Multi-Scale Motor Vehicle and Equipment Emission System. EPA420-R-02-027. U.S. Environmental Protection Agency, 2002.
26. Frey H. C., Zhang K., and Rouphail N. M. Fuel Use and Emissions Comparisons for Alternative Routes, Time of Day, Road Grade, and Vehicles Based on In-Use Measurements. Environmental Science and Technology, Vol. 42, No. 7, 2008, pp. 2483–2489.
27. Automobile Industry Statistics 2014 Edition (in Portuguese). ACAP—Automobile Association of Portugal, 2014.
28. Coelho M. C., Frey H. C., Rouphail N. M., Zhai H., and Pelkmans L. Assessing Methods for Comparing Emissions from Gasoline and Diesel Light-Duty Vehicles Based on Microscale Measurements. Transportation Research Part D: Transport and Environment, Vol. 14, No. 2, 2009, pp. 91–99.
29. Zhai H., Frey H. C., and Rouphail N. M. A Vehicle-Specific Power Approach to Speed- and Facility-Specific Emissions Estimates for Diesel Transit Buses. Environmental Science and Technology. Vol. 41, No. 21, 2008, pp. 7985–7991.
30. Frey H. C., Rouphail N. M., Zhai H., Farias T. L., and Gonçalves G. A. Comparing Real-World Fuel Consumption for Diesel- and Hydrogen-Fueled Transit Buses and Implication for Emissions. Transportation Research Part D: Transport and Environment, Vol. 12, No. 4, 2007, pp. 281–291.
31. EMEP/EEA Air Pollutant Emission Inventory Guidebook. Technical report No. 9/2009. European Environmental Agency, Copenhagen, Denmark, 2013.
32. Goldberg J. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Boston, Mass., 1989.
33. Deb K., Pratap A., Agarwal S., and Meyarivan T. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 2002, pp. 182–197.
34. Kwak J., Park B., and Lee J. Evaluating the Impacts of Urban Corridor Traffic Signal Optimization on Vehicle Emissions and Fuel Consumption. Transportation Planning and Technology, Vol. 35, No. 2, 2012, pp. 145–160.
35. Vasconcelos A. L. P., Seco Á. J. M., and Silva A. M. C. B. Comparison of Procedures to Estimate Critical Headways at Roundabouts. Promet—Traffic and Transportation, Vol. 25, No. 1, 2013, pp. 43–53.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: April 28, 2019
Issue published: January 2015

Rights and permissions

© 2015 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Paulo Fernandes
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Tânia Fontes
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Mark Neves
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Sérgio Ramos Pereira
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Jorge M. Bandeira
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Nagui M. Rouphail
Institute for Transportation Research and Education, North Carolina State University, NCSU Campus Box 8601, Raleigh, NC 27695-8601.
Margarida C. Coelho
Department of Mechanical Engineering, Center for Mechanical Technology and Automation, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal

Notes

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 135

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 12

  1. Can turbo-roundabouts and restricted crossing U-Turn be effective solu...
    Go to citation Crossref Google Scholar
  2. Massively parallelizable approach for evaluating signalized arterial p...
    Go to citation Crossref Google Scholar
  3. Synchronous Management of Mixed Traffic at Signalized Intersections To...
    Go to citation Crossref Google Scholar
  4. The importance of the functional mixed entropy for the explanation of ...
    Go to citation Crossref Google Scholar
  5. Modeling the Influence of Roundabout Deflection on Its Efficiency as a...
    Go to citation Crossref Google Scholar
  6. Before-After Study of Signal Timing Improvement Using Crowd-Sourced Da...
    Go to citation Crossref Google Scholar
  7. Geospatial Variation of Real-World Tailpipe Emission Rates for Light-D...
    Go to citation Crossref Google Scholar
  8. Integrating road traffic externalities through a sustainability indica...
    Go to citation Crossref Google Scholar
  9. Before-and-After Field Investigation of the Effects on Pollutant Emiss...
    Go to citation Crossref Google Scholar
  10. Assessing the impact of closely-spaced intersections on traffic operat...
    Go to citation Crossref Google Scholar
  11. The effect of a roundabout corridor's design on selecting the optimal ...
    Go to citation Crossref Google Scholar
  12. On-road measurement of CO 2 vehicle emissions under alternative forms ...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub