IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i4p1140-d207969.html
   My bibliography  Save this article

How to Mitigate Traffic Congestion Based on Improved Ant Colony Algorithm: A Case Study of a Congested Old Area of a Metropolis

Author

Listed:
  • Zhichao Li

    (Department of Public Administration, School of Political Science and Public Administration, East China University of Political Science and Law, Shanghai 201620, China)

  • Jilin Huang

    (Department of Environmental Science, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China, 2015120401007@std.uestc.edu.cn)

Abstract

Old areas of metropolises play a crucial role in their development. The main factors restricting further progress are primitive road transportation planning, limited space, and dense population, among others. Mass transit systems and public transportation policies are thus being adopted to make an old area livable, achieve sustainable development, and solve transportation problems. Identifying old areas of metropolises as a research object, this paper puts forth an improved ant colony algorithm and combines it with virtual reality. This paper predicts traffic flow in Yangpu area on the basis of data obtained through Python, a programming language. On comparing the simulation outputs with reality, the results show that the improved model has a better simulation effect, and can take advantage of the allocation of traffic resources, enabling the transport system to achieve comprehensive optimization of time, cost, and accident rates. Subsequently, this paper conducted a robustness test, the results of which show that virtual traffic simulation based on the improved ant colony algorithm can effectively simulate real traffic flow, use vehicle road and signal resources, and alleviate overall traffic congestion. This paper offers suggestions to alleviate traffic congestion in old parts of metropolises.

Suggested Citation

  • Zhichao Li & Jilin Huang, 2019. "How to Mitigate Traffic Congestion Based on Improved Ant Colony Algorithm: A Case Study of a Congested Old Area of a Metropolis," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1140-:d:207969
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/4/1140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/4/1140/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arnott, Richard & Inci, Eren, 2006. "An integrated model of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 60(3), pages 418-442, November.
    2. O Holthaus & C Rajendran, 2005. "A fast ant-colony algorithm for single-machine scheduling to minimize the sum of weighted tardiness of jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 947-953, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    2. Zhanzhong Wang & Ruijuan Chu & Minghang Zhang & Xiaochao Wang & Siliang Luan, 2020. "An Improved Hybrid Highway Traffic Flow Prediction Model Based on Machine Learning," Sustainability, MDPI, vol. 12(20), pages 1-22, October.
    3. Zhichao Li & Jilin Huang & Zhiping Hu, 2019. "Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning," IJERPH, MDPI, vol. 16(10), pages 1-15, May.
    4. Dražen Žgaljić & Edvard Tijan & Alen Jugović & Tanja Poletan Jugović, 2019. "Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System," Sustainability, MDPI, vol. 11(23), pages 1-21, December.
    5. Boshuai Zhao & Juliang Zhang & Wenchao Wei, 2019. "Impact of Time Restriction and Logistics Sprawl on Urban Freight and Environment: The Case of Beijing Agricultural Freight," Sustainability, MDPI, vol. 11(13), pages 1-17, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arnott, Richard & Inci, Eren, 2010. "The stability of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 68(3), pages 260-276, November.
    2. Bergantino, Angela Stefania & De Carlo, Angela & Morone, Andrea, 2015. "Individuals’ behaviour with respect to parking alternatives: a laboratory experiment," MPRA Paper 63815, University Library of Munich, Germany.
    3. Xu, Zhengtian & Yin, Yafeng & Zha, Liteng, 2017. "Optimal parking provision for ride-sourcing services," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 559-578.
    4. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    5. Jesper de Groote & Jos van Ommeren & Hans R.A. Koster, 2017. "The Impact of Parking Policy on House Prices," Tinbergen Institute Discussion Papers 17-037/VIII, Tinbergen Institute.
    6. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    7. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    8. Knockaert, Jasper & Verhoef, Erik T. & Rouwendal, Jan, 2016. "Bottleneck congestion: Differentiating the coarse charge," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 59-73.
    9. Zhang, Wenjia & Kockelman, Kara M., 2016. "Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies," Journal of Urban Economics, Elsevier, vol. 95(C), pages 64-86.
    10. van Ommeren, Jos & Russo, Giovanni, 2014. "Time-varying parking prices," Economics of Transportation, Elsevier, vol. 3(2), pages 166-174.
    11. Ostermeijer, Francis & Koster, Hans & Nunes, Leonardo & van Ommeren, Jos, 2022. "Citywide parking policy and traffic: Evidence from Amsterdam," Journal of Urban Economics, Elsevier, vol. 128(C).
    12. Ahmadi Azari, Kian & Arintono, Sulistyo & Hamid, Hussain & Rahmat, Riza Atiq O.K., 2013. "Modelling demand under parking and cordon pricing policy," Transport Policy, Elsevier, vol. 25(C), pages 1-9.
    13. Arnott, Richard, 2013. "A bathtub model of downtown traffic congestion," Journal of Urban Economics, Elsevier, vol. 76(C), pages 110-121.
    14. Groote, Jesper De & Ommeren, Jos Van & Koster, Hans R.A., 2016. "Car ownership and residential parking subsidies: Evidence from Amsterdam," Economics of Transportation, Elsevier, vol. 6(C), pages 25-37.
    15. Inga Molenda & Gernot Sieg, 2018. "To Pay or Not to Pay for Parking at Shopping Malls: A Rationale from the Perspective of Two-sided Markets," Journal of Transport Economics and Policy, University of Bath, vol. 52(3), pages 283-28-297.
    16. Jos Van Ommeren & Derk Wentink, 2012. "The (Hidden) Cost Of Employer Parking Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 965-978, August.
    17. Ramadan, Ahmed & Roorda, Matthew, 2016. "Impacts of Illegal On-Street Parking on Toronto's CBD Congestion," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319289, Transportation Research Forum.
    18. De Borger, Bruno & Russo, Antonio, 2017. "The political economy of pricing car access to downtown commercial districts," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 76-93.
    19. Rym M’Hallah & Ali Alhajraf, 2016. "Ant colony systems for the single-machine total weighted earliness tardiness scheduling problem," Journal of Scheduling, Springer, vol. 19(2), pages 191-205, April.
    20. Molenda, Inga & Sieg, Gernot, 2013. "Residential parking in vibrant city districts," Economics of Transportation, Elsevier, vol. 2(4), pages 131-139.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1140-:d:207969. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.