Tram Warning for Automated Shuttle

Mikko Tarkiainen; Kimmo Kauvo; Elina Aittoniemi

Abstract

This paper examines the implementation and impact of a tram warning service within the IN2CCAM* project. The service aims to enhance the interaction between automated shuttles and trams in urban settings. By utilizing real-time data and standardized C-ITS messages, the service preventsautomated shuttles from obstructing trams, thereby improving traffic flow and safety. Our analysis of key performance indicators demonstrates a notable reduction in shuttle-induced tram delays.

Original language	English
Number of pages	2
Publication status	Published - 2024
MoE publication type	Not Eligible
Event	20th IEEE International Conference on Automation Science and Engineering, CASE 2024 - Bari, Italy Duration: 28 Aug 2024 → 1 Sept 2024 https://2024.ieeecase.org/

Conference

Conference	20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Country/Territory	Italy
City	Bari
Period	28/08/24 → 1/09/24
Internet address	https://2024.ieeecase.org/

Access to Document

IEEE-case2024-TramWarning-Tarkiainen_finalAccepted author manuscript, 247 KB

1 Conference article in proceedings

Enhancing integration of automated shuttles to urban transport – Experiences from field tests and simulations
Chkhartishvili, N., Aittoniemi, E., Tarkiainen, M. & Kauvo, K., 19 May 2025, ITSEU25 Paper Publications.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

1 Finished

IN2CCAM: Enhancing Integration and Interoperability of CCAM eco-system
Tarkiainen, M. (Manager), Kutila, M. (Participant), Kauvo, K. (Participant) & Aittoniemi, E. (Participant)
1/11/22 → 31/10/25
Project: EU project

Cite this

@conference{ac2a3fa2ee644f6c8707c485d006c4ca,

title = "Tram Warning for Automated Shuttle",

abstract = "This paper examines the implementation and impact of a tram warning service within the IN2CCAM* project. The service aims to enhance the interaction between automated shuttles and trams in urban settings. By utilizing real-time data and standardized C-ITS messages, the service preventsautomated shuttles from obstructing trams, thereby improving traffic flow and safety. Our analysis of key performance indicators demonstrates a notable reduction in shuttle-induced tram delays. ",

author = "Mikko Tarkiainen and Kimmo Kauvo and Elina Aittoniemi",

note = "Special Session Presentation-Only Abstract, not in proceedings; 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 ; Conference date: 28-08-2024 Through 01-09-2024",

year = "2024",

language = "English",

url = "https://2024.ieeecase.org/",

}

TY - CONF

T1 - Tram Warning for Automated Shuttle

AU - Tarkiainen, Mikko

AU - Kauvo, Kimmo

AU - Aittoniemi, Elina

N1 - Special Session Presentation-Only Abstract, not in proceedings

PY - 2024

Y1 - 2024

N2 - This paper examines the implementation and impact of a tram warning service within the IN2CCAM* project. The service aims to enhance the interaction between automated shuttles and trams in urban settings. By utilizing real-time data and standardized C-ITS messages, the service preventsautomated shuttles from obstructing trams, thereby improving traffic flow and safety. Our analysis of key performance indicators demonstrates a notable reduction in shuttle-induced tram delays.

AB - This paper examines the implementation and impact of a tram warning service within the IN2CCAM* project. The service aims to enhance the interaction between automated shuttles and trams in urban settings. By utilizing real-time data and standardized C-ITS messages, the service preventsautomated shuttles from obstructing trams, thereby improving traffic flow and safety. Our analysis of key performance indicators demonstrates a notable reduction in shuttle-induced tram delays.

M3 - Conference Abstract

T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024

Y2 - 28 August 2024 through 1 September 2024

ER -

Tram Warning for Automated Shuttle

Abstract

Conference

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Research output

Enhancing integration of automated shuttles to urban transport – Experiences from field tests and simulations

Projects

IN2CCAM: Enhancing Integration and Interoperability of CCAM eco-system

Cite this