Skip to main content
SpringerLink
Log in

On the Impact of Emergency Incidents on the Freeway: A Full Velocity Difference (FVD) Model Based Four-Lane Traffic Dynamics Simulation

  • Conference paper
  • First Online:
Smart Transportation Systems 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 149))

  • 1337 Accesses

Abstract

Freeway as a relatively close traffic system is extremely vulnerable to bottlenecks, especially those created by emergency incidents, such as traffic accident and vehicle breakdown. Usually, at least one lane will be either partially impacted or fully blocked. To have an in-depth understanding of the impact, we develop a four-lane traffic dynamic model and microscopically demonstrate the impact brought by bottlenecks on the freeway. We also incorporate a realistic FVD-based lane-changing trajectory by approximating the clothoid into cubic polynomials. Then, the lane-change cooperation can be realistically demonstrated as the time span of the lane change is not simplified as one simulation interval. By comparing the dynamic change of trajectories, we found that the communication with the preceding and the following vehicle of target lane are equally important to overall traffic performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bando, M., Hasebe, K., Nakayama, A., Shibata, A., Sugiyama, Y.: Dynamical model of traffic congestion and numerical simulation. Phys. Rev. E 51, 1035 (1995)

    Article  Google Scholar 

  2. Gackstatter, C., Heinemann, P., Thomas, S., Rosenhahn, B., Klinker, G.: Fusion of clothoid segments for a more accurate and updated prediction of the road geometry. In: International IEEE Conference on Intelligent Transportation Systems. IEEE (2010)

    Google Scholar 

  3. Helbing, D., Tilch, B.: Generalized force model of traffic dynamics. Phys. Rev. E 58, 133 (1998)

    Article  Google Scholar 

  4. Hidas, P.: Modelling lane changing and merging in microscopic traffic simulation. Transp. Res. Part C Emerg. Technol. 10(5), 351–371 (2002)

    Article  Google Scholar 

  5. Hidas, P.: Modelling vehicle interactions in microscopic simulation of merging and weaving. Transp. Res. Part C 13(1), 37–62 (2005)

    Article  Google Scholar 

  6. Jiang, R., Wu, Q., Zhu, Z.: Full velocity difference model for a car-following theory. Phys. Rev. E 64, 017101 (2001)

    Google Scholar 

  7. Kasper, D., Weidl, G., Dang, T., Breuel, G., Tamke, A., Wedel, A., Rosenstiel, W.: Object-oriented Bayesian networks for detection of lane change maneuvers. IEEE Intell. Transp. Syst. Mag. 4(3), 19–31 (2012)

    Article  Google Scholar 

  8. Laval, J.A., Daganzo, C.F.: Lane-changing in traffic streams. Transp. Res. Part B Methodol. 40(3), 251–264 (2006)

    Article  Google Scholar 

  9. Lv, W., Song, W.G., Fang, Z.M.: Three-lane changing behaviour simulation using a modified optimal velocity model. Phys. A 390(12), 2303–2314 (2011)

    Article  Google Scholar 

  10. Meng, Q., Weng, J.: Cellular automata model for work zone traffic. Transp. Res. Rec. J. Transp. Res. Board 2188, 131–139 (2010)

    Article  Google Scholar 

  11. Qu, X., Wang, S., Zhang, J.: On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transp. Res. Part B 73, 91–102 (2015)

    Article  Google Scholar 

  12. Sledge, N.H., Marshek, K.M.: Development and validation of an optimized emergency lane-change trajectory (No. 980231). SAE Technical Paper (1998)

    Google Scholar 

  13. Tang, T., Shi, W., Shang, H., Wang, Y.: A new car-following model with consideration of inter-vehicle communication. Nonlinear Dyn. 76(4), 2017–2023 (2014)

    Article  Google Scholar 

  14. Yu, Y., Jiang, R., Qu, X.: A modified full velocity difference model with acceleration and deceleration confinement: calibrations, validations, and scenario analysis. IEEE Intell. Transp. Syst. Mag. (2018)

    Google Scholar 

  15. Zheng, Z.: Recent developments and research needs in modeling lane changing. Transp. Res. Part B Methodol. 60(1), 16–32 (2014)

    Article  Google Scholar 

  16. Zou, Y., Qu, X.: On the impact of connected automated vehicles in freeway work zone: a cooperative cellular automata model based approach. J. Intell.Connect. Veh. 1(1), 1–14 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Technology Sydney, 123 Broadway, Ultimo, NSW, 2007, Australia

    Yun Zou

  2. Chalmers University of Technology, 412 96, Gothenburg, Sweden

    Xiaobo Qu

Authors
  1. Yun Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaobo Qu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaobo Qu .

Editor information

Editors and Affiliations

  1. Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Västra Götalands Län, Sweden

    Xiaobo Qu

  2. School of Management, Shanghai University, Shanghai, China

    Lu Zhen

  3. KES International Research, Bournemouth University, Poole, Dorset, UK

    Robert J. Howlett

  4. University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zou, Y., Qu, X. (2019). On the Impact of Emergency Incidents on the Freeway: A Full Velocity Difference (FVD) Model Based Four-Lane Traffic Dynamics Simulation. In: Qu, X., Zhen, L., Howlett, R., Jain, L. (eds) Smart Transportation Systems 2019. Smart Innovation, Systems and Technologies, vol 149. Springer, Singapore. https://doi.org/10.1007/978-981-13-8683-1_17

Download citation

Publish with us

Policies and ethics

Search

Navigation