Modeling of driver cut-in behavior towards a platoon

A vehicle platoon is a group of vehicles driving together with a harmonized speed and a short inter-vehicle gap by using vehicle automation and vehicle-to-vehicle communication. Platoons have to share road with human-driven vehicles (HDVs) and can only be applied in heterogeneous traffic flow for a...

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Main Authors: Lu, Yun, Wang, Bohui, Huang, Lingying, Zhao, Nanbin, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/166720
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1667202023-05-12T15:40:41Z Modeling of driver cut-in behavior towards a platoon Lu, Yun Wang, Bohui Huang, Lingying Zhao, Nanbin Su, Rong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Platoons Cut-in Behavior A vehicle platoon is a group of vehicles driving together with a harmonized speed and a short inter-vehicle gap by using vehicle automation and vehicle-to-vehicle communication. Platoons have to share road with human-driven vehicles (HDVs) and can only be applied in heterogeneous traffic flow for a long period. Driver cut-in behavior (DCB) towards a platoon can be frequently expected in such driving context. In this paper, to understand and simulate such behavior, we propose a platoon-oriented cut-in behavior (POCB) model by fusing a lateral and a longitudinal control model into the queuing network (QN) cognitive architecture. Platoon-oriented cut-in experiments are conducted to collect driver data under cut-in from back and front scenarios, which both include six sub-scenarios with different platoon gaps or initial velocities. We demonstrate the effectiveness of the proposed model in simulating the DCB towards platoons by comparing experimental and simulation results under various driving scenarios across different subjects. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version This work was supported by the A∗STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund C Pre-Positioning (IAF-PP) (Award A19D6a0053). 2023-05-08T06:44:20Z 2023-05-08T06:44:20Z 2022 Journal Article Lu, Y., Wang, B., Huang, L., Zhao, N. & Su, R. (2022). Modeling of driver cut-in behavior towards a platoon. IEEE Transactions On Intelligent Transportation Systems, 23(12), 24636-24648. https://dx.doi.org/10.1109/TITS.2022.3202494 1524-9050 https://hdl.handle.net/10356/166720 10.1109/TITS.2022.3202494 12 23 24636 24648 en A19D6a0053 IEEE Transactions on Intelligent Transportation Systems © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TITS.2022.3202494. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Platoons
Cut-in Behavior
spellingShingle Engineering::Electrical and electronic engineering
Platoons
Cut-in Behavior
Lu, Yun
Wang, Bohui
Huang, Lingying
Zhao, Nanbin
Su, Rong
Modeling of driver cut-in behavior towards a platoon
description A vehicle platoon is a group of vehicles driving together with a harmonized speed and a short inter-vehicle gap by using vehicle automation and vehicle-to-vehicle communication. Platoons have to share road with human-driven vehicles (HDVs) and can only be applied in heterogeneous traffic flow for a long period. Driver cut-in behavior (DCB) towards a platoon can be frequently expected in such driving context. In this paper, to understand and simulate such behavior, we propose a platoon-oriented cut-in behavior (POCB) model by fusing a lateral and a longitudinal control model into the queuing network (QN) cognitive architecture. Platoon-oriented cut-in experiments are conducted to collect driver data under cut-in from back and front scenarios, which both include six sub-scenarios with different platoon gaps or initial velocities. We demonstrate the effectiveness of the proposed model in simulating the DCB towards platoons by comparing experimental and simulation results under various driving scenarios across different subjects.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lu, Yun
Wang, Bohui
Huang, Lingying
Zhao, Nanbin
Su, Rong
format Article
author Lu, Yun
Wang, Bohui
Huang, Lingying
Zhao, Nanbin
Su, Rong
author_sort Lu, Yun
title Modeling of driver cut-in behavior towards a platoon
title_short Modeling of driver cut-in behavior towards a platoon
title_full Modeling of driver cut-in behavior towards a platoon
title_fullStr Modeling of driver cut-in behavior towards a platoon
title_full_unstemmed Modeling of driver cut-in behavior towards a platoon
title_sort modeling of driver cut-in behavior towards a platoon
publishDate 2023
url https://hdl.handle.net/10356/166720
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