Centralized Coordination of Autonomous Vehicles at Intersections

Seyedezahra Chamideh; William Tärneberg; Maria Kihl

doi:10.23919/SoftCOM50211.2020.9238311

Centralized Coordination of Autonomous Vehicles at Intersections

Seyedezahra Chamideh, William Tärneberg, Maria Kihl

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

127 Downloads (Pure)

Abstract

Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.

Original language	English
Title of host publication	2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-953-290-099-6
ISBN (Print)	978-1-7281-7538-6
DOIs	https://doi.org/10.23919/SoftCOM50211.2020.9238311
Publication status	Published - 2020
Event	28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) - Hvar, Croatia Duration: 2020 Sept 17 → 2020 Sept 19

Conference

Conference	28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
Country/Territory	Croatia
City	Hvar
Period	2020/09/17 → 2020/09/19

Subject classification (UKÄ)

Transport Systems and Logistics

Access to Document

10.23919/SoftCOM50211.2020.9238311

Coordination_Of_Automated_Vehicle_at_Intersection

1 Licentiate Thesis

Safe and Robust Autonomous Intersection Management Methods
Chamideh, S., 2021, Lund: Lund University.
Research output: Thesis › Licentiate Thesis

File

1 Finished
4 Active

ELLIIT Project B05: 6G wireless, sub-project: vehicular communications
Kihl, M., Tärneberg, W. & Chamideh, S.
2021/01/01 → 2025/12/31
Project: Research
Optimization and control of networked systems for autonomous vehicle applications
Chamideh, S., Kihl, M. & Tärneberg, W.
2018/11/01 → 2023/11/01
Project: Dissertation
Sec4Factory: Cyber Security for Next Generation Factory (SEC4FACTORY)
Gehrmann, C., Kihl, M., Hell, M., Fitzgerald, E., Toorani, M., Fitzgerald, E., Tärneberg, W. & Akbarian, F.
Swedish Foundation for Strategic Research, SSF
2018/04/01 → 2024/12/31
Project: Research

Cite this

@inproceedings{cbc8be3d2472475499d0dd9f6c8b184b,

title = "Centralized Coordination of Autonomous Vehicles at Intersections",

abstract = "Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.",

author = "Seyedezahra Chamideh and William T{\"a}rneberg and Maria Kihl",

year = "2020",

doi = "10.23919/SoftCOM50211.2020.9238311",

language = "English",

isbn = "978-1-7281-7538-6",

booktitle = "2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) ; Conference date: 17-09-2020 Through 19-09-2020",

}

Chamideh, S , Tärneberg, W & Kihl, M 2020, Centralized Coordination of Autonomous Vehicles at Intersections. in 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE - Institute of Electrical and Electronics Engineers Inc., 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 2020/09/17. https://doi.org/10.23919/SoftCOM50211.2020.9238311

Centralized Coordination of Autonomous Vehicles at Intersections. / Chamideh, Seyedezahra ; Tärneberg, William ; Kihl, Maria.

2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE - Institute of Electrical and Electronics Engineers Inc., 2020.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Centralized Coordination of Autonomous Vehicles at Intersections

AU - Chamideh, Seyedezahra

AU - Tärneberg, William

AU - Kihl, Maria

PY - 2020

Y1 - 2020

N2 - Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.

AB - Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersections as a replacement of traditional intersection control. An edge cloud controller is used to deliver services that provide traffic safety and efficiency to vehicles. Two well-cited optimization algorithms for cooperative vehicles are compared with realistic simulations in SUMO. This side by side comparison helps to gain insight into the strengths and limitations of these types of algorithms.

U2 - 10.23919/SoftCOM50211.2020.9238311

DO - 10.23919/SoftCOM50211.2020.9238311

M3 - Paper in conference proceeding

SN - 978-1-7281-7538-6

BT - 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)

Y2 - 17 September 2020 through 19 September 2020

ER -

Centralized Coordination of Autonomous Vehicles at Intersections

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

Safe and Robust Autonomous Intersection Management Methods

Projects

ELLIIT Project B05: 6G wireless, sub-project: vehicular communications

Optimization and control of networked systems for autonomous vehicle applications

Sec4Factory: Cyber Security for Next Generation Factory (SEC4FACTORY)

Cite this