Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

Research on Traffic Adaptability of Car-Following Behavior of Connected Vehicles Based on LTE-V Communication

Publication: International Conference on Transportation and Development 2020

ABSTRACT

Connected vehicles (CV) have the different car-following behavior from the traditional human vehicles (HV) because of the information sharing ability of CV, and it is an urgent issue to be studied that whether car-following behavior of CV can adapt to the actual complex traffic environment and improve the traffic system efficiency. Using the in-field test environment, the four conditions of start-up, acceleration, deceleration, and emergency braking are designed, and the car-following behavior based on long-term evolution-vehicle (LTE-V) communication by using in-field experimental data is studied. From the perspectives of man–machine environment, the driver’s reaction time, psychological field strength, acceleration intensity, space headway, and steady-state transfer time is proposed to establish the adaptability indicators. Using the adaptability indicators, the impact of car-following behavior of CV based on LTE-V communication under different running speed and operating conditions in actual complex traffic environment is studied considering the impact of human–machine environment. The experimental analysis results show that the car-following behavior of CV based on LTE-V communication in the actual complex traffic environment can effectively improve the safety, comfort, and stability of the whole traffic system.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Chai R. (2016). “Research on driving behavior characteristics based on Internet of Vehicles”. Ph.D. thesis, Beijing Institute of Technology, Beijing.
Chen H. (2016). “Exploring the Effects of V2V Information on Visual Attention and Driving Performance”. Tsinghua University.
Cai X. Y., Cai M., Zhang Y. J, et al.(2017). “Research on driver reaction time in Internet of vehicles environment”. J. Computer Applications, 37(S2): 270–273.
Chang X., Li H., Rong J., et al.(,2019). “Connected vehicle environment simulation platform construction and its impact on driving behavior based on driving simulator”. J. Science Technology and Engineering, 19(15): 330–335.
Chang X., Li H., Rong J., et al.(,2019). “Effects of on-Board Unit on Driving Behavior in Connected Vehicle Traffic Flow”. J. Advanced Transportation, 2019:1–12.
Farah H, Koutsopoulos H.N, et al.(2012). “Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior”. J. Transportation Research Part C, 21(1).
Farah H, Koutsopoulos H.N(2014). “Do cooperative systems make drivers’ car-following behavior safe?”. J. Transportation Research Part C: Emerging Technologies, 41:6172.
Hua X. D., Wang W., Wang W. (2016). “Traffic flow car-following model considering vehicle-to-vehicle interconnection communication technology”. J. Acta Physica Sinica, 65(01): 52-63.
Jing S. C.(2016). “Research and implementation of vehicle rear-end warning system based on vehicle road coordination”. M.S. thesis, Chang an University, Xian.
Gu H. Y. (2017). “Research on freeway car following modeling and simulation in connected vehicles”. Ph.D. thesis, Southeast University, Nanjing.
Gong S. Y. (2013). “Research on Drivers’ Car-following Behavior with Car-following Suggestion of Cooperative Vehicle Infrastructure System”. M.S. thesis, Jilin University, Jilin.
Macqueen J.(1967). Some methods for classification and analysis of multiva-riate observations. University of California Press. Berkeley, California. 1967:281–297.
Tao P. F. (2012). “Modeling of driving behavior based on the psychology field theory”. M.S. thesis, Jilin University, Jilin.
Wang B. (2013). “Research on following behavior and model based on driving simulation experiment”. M.S. thesis, Beijing Jiaotong University, Beijing.
Zhang X. X. (2018). “Research on driving behavior of car-following vehicles under the influence of visibility”. M.S. thesis, Hefei University of Technology, Hefei.
Zhang Z. Y., Huang W., Ren F. T.(2009). “State Division of Car-following Behavior of Urban Express Roads”. J. Beijing University of Technology, 35(11): 1512–1515.

Information & Authors

Information

Published In

Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 248 - 258
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8313-8

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Haiqin Tang [email protected]
1MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Transportation, Beijing Jiaotong Univ., Beijing, China. Email: [email protected]
Jiangfeng Wang, Ph.D. [email protected]
2MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Transportation, Beijing Jiaotong Univ., Beijing, China. Email: [email protected]
Lei Chen, Ph.D. [email protected]
3MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Transportation, Beijing Jiaotong Univ., Beijing, China. Email: [email protected]
Mengyu Wang [email protected]
4MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Transportation, Beijing Jiaotong Univ., Beijing, China. Email: [email protected]
Qing Xu, Ph.D. [email protected]
5School of Vehicle and Mobility, Tsinghua Univ., Beijing, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share