720
Views
9
CrossRef citations to date
0
Altmetric
Research Article

Customizing the following behavior models to mimic the weak lane based mixed traffic conditions

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 20-47 | Received 19 Jul 2020, Accepted 07 Jul 2021, Published online: 29 Jul 2021

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (5)

Yueyi Han, Congcong Bai, Sheng Jin, Rujie Wang & Dongfang Ma. (2023) Modelling of two-lane car-following behaviour considering driver’s visual effect. Transportmetrica B: Transport Dynamics 11:1, pages 1311-1336.
Read now
Michail A. Makridis, Aikaterini Anesiadou, Konstantinos Mattas, Georgios Fontaras & Biagio Ciuffo. (2023) Characterising driver heterogeneity within stochastic traffic simulation. Transportmetrica B: Transport Dynamics 11:1, pages 725-743.
Read now
Kavitha Madhu, Karthik K. Srinivasan & R. Sivanandan. (2023) Vehicle-following behaviour in mixed traffic – role of lane position and adjacent vehicle. Transportation Letters 0:0, pages 1-14.
Read now
Shubham Patil, Narayana Raju, Shriniwas S. Arkatkar & Said Easa. (2023) Modeling vehicle collision instincts over road midblock using deep learning. Journal of Intelligent Transportation Systems 27:2, pages 257-271.
Read now

Articles from other publishers (4)

Chintaman Santosh Bari, Rohit Chopde & Ashish Dhamaniya. (2022) Lane Choice Behavior at Toll Plaza Under Mixed Traffic Conditions Using TODIM Method: A Case Study. Transportation in Developing Economies 8:2.
Crossref
Ekene F. Ozioko, Julian Kunkel & Fredric Stahl. (2022) Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review. Journal of Advanced Transportation 2022, pages 1-15.
Crossref
Hongsheng Qi, Yuyan Ying & Jiahao Zhang. (2022) Stochastic lateral noise and movement by Brownian differential models. Stochastic lateral noise and movement by Brownian differential models.
Ekene F. Ozioko, Julian Kunkel & Fredric Stahl. 2022. Intelligent Computing. Intelligent Computing 67 94 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.