IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v451y2016icp320-332.html
   My bibliography  Save this article

Improving traffic flow at a 2-to-1 lane reduction with wirelessly connected, adaptive cruise control vehicles

Author

Listed:
  • Davis, L.C.

Abstract

Wirelessly connected vehicles that exchange information about traffic conditions can reduce delays caused by congestion. At a 2-to-1 lane reduction, the improvement in flow past a bottleneck due to traffic with a random mixture of 40% connected vehicles is found to be 52%. Control is based on connected-vehicle-reported velocities near the bottleneck. In response to indications of congestion the connected vehicles, which are also adaptive cruise control vehicles, reduce their speed in slowdown regions. Early lane changes of manually driven vehicles from the terminated lane to the continuous lane are induced by the slowing connected vehicles. Self-organized congestion at the bottleneck is thus delayed or eliminated, depending upon the incoming flow magnitude. For the large majority of vehicles, travel times past the bottleneck are substantially reduced. Control is responsible for delaying the onset of congestion as the incoming flow increases. Adaptive cruise control increases the flow out of the congested state at the bottleneck. The nature of the congested state, when it occurs, appears to be similar under a variety of conditions. Typically 80–100 vehicles are approximately equally distributed between the lanes in the 500 m region prior to the end of the terminated lane. Without the adaptive cruise control capability, connected vehicles can delay the onset of congestion but do not increase the asymptotic flow past the bottleneck. Calculations are done using the Kerner–Klenov three-phase theory, stochastic discrete-time model for manual vehicles. The dynamics of the connected vehicles is given by a conventional adaptive cruise control algorithm plus commanded deceleration. Because time in the model for manual vehicles is discrete (one-second intervals), it is assumed that the acceleration of any vehicle immediately in front of a connected vehicle is constant during the time interval, thereby preserving the computational simplicity and speed of a discrete-time model.

Suggested Citation

  • Davis, L.C., 2016. "Improving traffic flow at a 2-to-1 lane reduction with wirelessly connected, adaptive cruise control vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 320-332.
    • Handle: RePEc:eee:phsmap:v:451:y:2016:i:c:p:320-332
    DOI: 10.1016/j.physa.2016.01.093
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437116001576
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2016.01.093?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Davis, L.C., 2006. "Effect of cooperative merging on the synchronous flow phase of traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 606-618.
    2. Riccardo Scarinci & Benjamin Heydecker, 2014. "Control Concepts for Facilitating Motorway On-ramp Merging Using Intelligent Vehicles," Transport Reviews, Taylor & Francis Journals, vol. 34(6), pages 775-797, November.
    3. Kurata, Shingo & Nagatani, Takashi, 2003. "Spatio-temporal dynamics of jams in two-lane traffic flow with a blockage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 318(3), pages 537-550.
    4. Zhang, Jian & Li, Xiling & Wang, Rui & Sun, Xiaosi & Cui, Xiaochao, 2012. "Traffic bottleneck characteristics caused by the reduction of lanes in an optimal velocity model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2381-2389.
    5. Nakata, Makoto & Yamauchi, Atsuo & Tanimoto, Jun & Hagishima, Aya, 2010. "Dilemma game structure hidden in traffic flow at a bottleneck due to a 2 into 1 lane junction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5353-5361.
    6. Schönhof, Martin & Kesting, Arne & Treiber, Martin & Helbing, Dirk, 2006. "Coupled vehicle and information flows: Message transport on a dynamic vehicle network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 73-81.
    7. Zhu, H.B. & Lei, L. & Dai, S.Q., 2009. "Two-lane traffic simulations with a blockage induced by an accident car," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2903-2910.
    8. Kerner, Boris S., 2005. "Control of spatiotemporal congested traffic patterns at highway bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 565-601.
    9. Yizhi Wang & Yi Zhang & Jianming Hu & Li Li, 2012. "Using Variable Speed Limits To Eliminate Wide Moving Jams: A Study Based On Three-Phase Traffic Theory," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(09), pages 1-16.
    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. Quan Yu & Linlong Lei & Yuqi Bao & Li Wang, 2022. "Research on Safety and Traffic Efficiency of Mixed Traffic Flows in the Converging Section of a Super-Freeway Ramp," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    2. Davis, L.C., 2018. "Dynamics of a long platoon of cooperative adaptive cruise control vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 818-834.
    3. Xu, Ting & Jiang, Ruisen & Wen, Changlei & Liu, Meijun & Zhou, Jiehan, 2019. "A hybrid model for lane change prediction with V2X-based driver assistance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Zhang, Peng & Zhu, Huibing & Zhou, Yijiang, 2022. "Modeling cooperative driving strategies of automated vehicles considering trucks’ behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    5. Du, Mengxiao & Liu, Jiahui & Chen, Qun, 2021. "Improving traffic efficiency during yellow lights using connected vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    6. Chen, Jing & Lin, Lan & Jiang, Rui, 2017. "Assigning on-ramp flows to maximize capacity of highway with two on-ramps and one off-ramp in between," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 347-357.
    7. Liu, Huaqing & Jiang, Rui, 2021. "Improving comfort level in traffic flow of CACC vehicles at lane drop on two-lane highways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    8. Davis, L.C., 2017. "Dynamic origin-to-destination routing of wirelessly connected, autonomous vehicles on a congested network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 93-102.

    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. Davis, L.C., 2012. "Mitigation of congestion at a traffic bottleneck with diversion and lane restrictions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1679-1691.
    2. Hongsheng Qi & Meiqi Liu & Lihui Zhang & Dianhai Wang, 2016. "Tracing Road Network Bottleneck by Data Driven Approach," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    3. Li, Xiang & Sun, Jian-Qiao, 2017. "Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 41-58.
    4. Hou, Guangyang & Chen, Suren & Bao, Yulong, 2022. "Development of travel time functions for disrupted urban arterials with microscopic traffic simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    5. Ngoduy, D. & Hoogendoorn, S.P. & Liu, R., 2009. "Continuum modeling of cooperative traffic flow dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(13), pages 2705-2716.
    6. Rehborn, Hubert & Klenov, Sergey L. & Palmer, Jochen, 2011. "An empirical study of common traffic congestion features based on traffic data measured in the USA, the UK, and Germany," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4466-4485.
    7. Simão, Ricardo & Wardil, Lucas, 2021. "Social dilemma in traffic with heterogeneous drivers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    8. Zhang, Hanyu & Du, Lili & Shen, Jinglai, 2022. "Hybrid MPC System for Platoon based Cooperative Lane change Control Using Machine Learning Aided Distributed Optimization," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 104-142.
    9. Nagatani, Takashi, 2020. "Traffic flow on percolation-backbone fractal," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    10. Yao, Wang & Jia, Ning & Zhong, Shiquan & Li, Liying, 2018. "Best response game of traffic on road network of non-signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 386-401.
    11. Hu, Xiaojian & Wang, Wei & Yang, Haifei, 2012. "Mixed traffic flow model considering illegal lane-changing behavior: Simulations in the framework of Kerner’s three-phase theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5102-5111.
    12. Zhang, Lele & de Gier, Jan & Garoni, Timothy M., 2014. "Traffic disruption and recovery in road networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 82-102.
    13. Lin, XuXun & Yuan, PengCheng, 2018. "A dynamic parking charge optimal control model under perspective of commuters’ evolutionary game behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1096-1110.
    14. Yu, Yuewen & Luo, Xia & Su, Qiming & Peng, Weikang, 2023. "A dynamic lane-changing decision and trajectory planning model of autonomous vehicles under mixed autonomous vehicle and human-driven vehicle environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    15. Diakaki, Christina & Papageorgiou, Markos & Papamichail, Ioannis & Nikolos, Ioannis, 2015. "Overview and analysis of Vehicle Automation and Communication Systems from a motorway traffic management perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 147-165.
    16. Xin, Qi & Fu, Rui & Ukkusuri, Satish V. & Yu, Shaowei & Jiang, Rui, 2021. "Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    17. Lili Du & Satish Ukkusuri, 2010. "The Relative Mobility of Vehicles Improves the Performance of Information Flow in Vehicle Ad Hoc Networks," Networks and Spatial Economics, Springer, vol. 10(2), pages 209-240, June.
    18. Fan, Hongqiang & Jia, Bin & Tian, Junfang & Yun, Lifen, 2014. "Characteristics of traffic flow at a non-signalized intersection in the framework of game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 172-180.
    19. Zhongtai Jiang & Dexin Yu & Huxing Zhou & Siliang Luan & Xue Xing, 2021. "A Trajectory Optimization Strategy for Connected and Automated Vehicles at Junction of Freeway and Urban Road," Sustainability, MDPI, vol. 13(17), pages 1-22, September.
    20. Sheu, Jiuh-Biing, 2007. "Stochastic modeling of the dynamics of incident-induced lane traffic states for incident-responsive local ramp control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 365-380.

    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:eee:phsmap:v:451:y:2016:i:c:p:320-332. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.