Skip to main content

The Impact of Connected and Autonomous Trucks on Freeway Traffic Flow

  • Conference paper
  • First Online:
Intelligent Human Systems Integration 2021 (IHSI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1322))

Included in the following conference series:

  • 2574 Accesses

Abstract

Using computer simulation to study the impact of connected and autonomous trucks on freeway mixed traffic flow. The future freeway vehicle models are divided into 4 types, conventional passenger cars, connected and autonomous passenger cars, conventional trucks, and connected and autonomous trucks. Based on the characteristics of the four models, the Nasch model was improved, including slowing down probability, driving style, maximum speed, lane changing behavior, and safety distance determination. Created a new mixed traffic flow model.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Pract. 77, 167–181 (2015)

    Article  Google Scholar 

  2. Tian, J., Li, G., Treiber, M., Jiang, R., Jia, N., Ma, S.: Cellular automaton model simulating spatiotemporal patterns, phase transitions and concave growth pattern of oscillations in traffic flow. Transp. Res. B 93, 560–575 (2016)

    Article  Google Scholar 

  3. Yuan, Y., Jiang, R., Hu, M.: Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: a hybrid modeling approach. In: World Congress on Intelligent Transport Systems & Its Americas Meeting (2008)

    Google Scholar 

  4. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. I 2(12), 2221–2229 (1992)

    Google Scholar 

  5. Rickert, M., Nagel, K., Schreckenberg, M., Latour, M.: Two lane traffic simulations using cellular automata. Physica A 231(4), 534–550 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongju Hu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Qiao, Y., Hu, Y. (2021). The Impact of Connected and Autonomous Trucks on Freeway Traffic Flow. In: Russo, D., Ahram, T., Karwowski, W., Di Bucchianico, G., Taiar, R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-68017-6_15

Download citation

Publish with us

Policies and ethics