Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
DE
EN
Books
Journals
Events
Topic Page
Marketing
Log in
Learn more about individual access
Request company access
Heavy-Duty Engines 2025 | 18 + 19 November 2025

Commercial Vehicles | Agricultural and Construction Machinery | Marine

Take part as a speaker in the 20th International MTZ Conference for the exchange of experience on industrial and commercial vehicle engines. Submit a subject proposal online!
EXTENDED SEARCH
Log in
Top
International Journal of Intelligent Transportation Systems Research
Published in:

29-09-2021

Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed Flow Condition

Authors: Ang Pan, Xin Zhang, Miho Iryo-Asano, Hideki Nakamura

Published in: International Journal of Intelligent Transportation Systems Research | Issue 1/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Field experiments of autonomous vehicles (AVs) have been conducted in many countries. However, efficiency evaluation of AV mixed flow and safety evaluation of conflicts between AVs and pedestrians in the real-world case are still limited. This study aims at evaluating the efficiency and safety of left-turn (LT) vehicles and pedestrians in signalized intersections, under the condition of AV mixed flow, by developing a simulation model. Post Encroachment Time (PET) and LT capacity were obtained. Further, gap/lag acceptance behavior and reaction time of LT vehicles were found to be critical parameters that affect efficiency and safety evaluations.
previous article Frequency Modelling and Risk Evaluation of Road Crashes in Sylhet Region of Bangladesh
next article Improve Safety and Security of Intelligent Railway Transportation System Based on Balise Using Machine Learning Algorithm and Fuzzy System

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information. 

Order your 30-days-trial for free and without any commitment.

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
Show more products
Appendix
Available only for authorised users
Literature
1.
National Police Agency, Japan. Fatal traffic accidents in 2019. (in Japanese) (2020)
2.
National Highway Safety Administration (NHTSA), The Evolution of Automated Safety Technologies. (2016)
3.
Guo, Y., Essa, M., Sayed, T., Haque, M., Washington, S.: A comparison between simulated and field-measured conflicts for safety assessment of signalized intersections in Australia. Transp. Res. Part C 101, 96–110 (2019)CrossRef
4.
Tashiro, M., Motoyama, H., Ichioka, Y., Miwa, T., Morikawa, T.: Simulation analysis on optimal merging control of connected vehicles for minimizing travel time. Int. J. Intell. Transp. Syst. Res. 18, 65–76 (2020)
5.
Wanibe, K., Kakimoto, Y. Nakamura, H. and Iryo, M. An analysis on the impact of autonomous vehicle mixture on capacity of signalized intersections. Journal of Japan Society of Traffic Engineers, vol. 5, No.2, pp. A_167–175 (in Japanese) (2019)
6.
Yahiaoui, A.: Stability analysis of following vehicles on a highway for safety of automated transportation systems. Int. J. Intell. Transp. Syst. Res. 17, 190–199 (2019)
7.
Ren, Z., Jiang, X., Wang, W.: Analysis of the influence of pedestrians’ eye contact on drivers’ comfort boundary during the crossing conflict. Procedia Engineering 137, 399–406 (2016)CrossRef
8.
Rasouli, A. and Tsotsos, J. Autonomous vehicles that interact with pedestrians: A survey of theory and practice. IEEE transactions on intelligent transportation systems, vol. 21, No. 3. (2020)
9.
Alhajyaseen, W., Asano, M., Nakamura, H.: Stochastic approach for modeling the effects of intersection geometry on turning vehicle paths. Transp. Res. Part C 32, 179–192 (2013)CrossRef
10.
11.
Pan, A., Zhang, X., Nakamura, H. and Alhajyaseen, W. Investigating the efficiency and safety of signalized intersections under mixed flow conditions of autonomous and human-driven vehicles. Arabian Journal for Science and Engineering, 12 pages, Springer. (2020)
12.
Zeng, W., Chen, P., Nakamura, H., Asano, M.: Application of Social Force Model to Pedestrian Behavior Analysis at Signalized Crosswalk. Transportation Research Part C: Emerging Technologies 40, 143–159 (2014)CrossRef
13.
Zhang, X., Nakamura, H., Asano, M. and Chen, P. Modeling pedestrian speed at signalized crosswalks considering crosswalk length and pedestrian signal timing. Journal of Japan Society of Civil Engineers, Ser. D3, vol. 70, No. 5, pp. I_1031-I_1040. (2014)
14.
Wolfermann, A., Alhajyaseen, W. and Nakamura, H. Modeling speed profiles of turning vehicles at signalized intersections. 3rd International Conference on Road Safety and Simulation, Transportation Research Board, Indianapolis, USA, 17 pages. (2011)
15.
Treiber, M., Hennecke, A. and Helbing, D. Congested traffic states in empirical observations and microscopic simulations, Phys. Rev. E., pp. 1805–1824. (2000)
16.
Alhajyaseen, W., Asano, M., Nakamura, H.: Left-turn gap acceptance models considering pedestrian movement characteristics. Accid. Anal. Prev. 50, 175–185 (2013)CrossRef
17.
Tang, K., Kuwahara, M.: Implementing the concept of critical post encroachment time for all-red clearance interval design at signalized intersections. Journal of the Eastern Asia Society for Transportation Studies 9, 1485–1498 (2011)
Metadata
Title
Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed Flow Condition
Authors
Ang Pan
Xin Zhang
Miho Iryo-Asano
Hideki Nakamura
Publication date
29-09-2021
Publisher
Springer US
Published in
International Journal of Intelligent Transportation Systems Research / Issue 1/2022
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-021-00276-z

Other articles of this Issue 1/2022

Boosting Advanced Driving Information: a Real-world Experiment About the Effect of HUD on HMI, Driving Effort, and Safety

Auto-Alert: A Spatial and Temporal Architecture for Driving Assistance in Road Traffic Environments

Trip Purpose Inference Based on the Relationship between Route Search Records and Regional Characteristics

Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions

  • Open Access

Platoon-Based Impact Assessment of Heavy-Duty Vehicles on Traffic Stream Characteristics of Highway Lanes Under Mixed Traffic Environment

Improve Safety and Security of Intelligent Railway Transportation System Based on Balise Using Machine Learning Algorithm and Fuzzy System

Premium Partners

    Image Credits