TY - GEN
T1 - Effects of Tram Warning Application on Automated Shuttle Bus and Tram Interaction
AU - Chkhartishvili, Nino
PY - 2025/9/30
Y1 - 2025/9/30
N2 - Urban transportation systems face difficulties due to the increase in urban population, as urbanisation is accompanied by higher levels of travel times, traffic congestion, delays and accidents (Goetz, 2019). These issues will be more prevalent in the future, since United Nations (2019) estimate that by 2050, 68% of the world’s population will live in urban areas. Additional statistics suggest that urban passenger transport is responsible for 40% of greenhouse gas emissions (GHG) in the total passenger transport sector related GHG emissions (International Transport Forum (ITF), 2021). The alarming issue of urban transportation is congestion; it is directly related to motorisation and the expanded usage of automobiles (Rodrigue, 2020). Congestion is followed by an increased need for transportation infrastructure and road space taken away by vehicle parking (Rodrigue, 2020). Automated shuttle buses could provide a solution to these issues related to individual transportation and improve effectiveness of public transportation.
This paper presents a case study on an automated shuttle bus that shares a lane with atram for part of its route. The research question is whether shuttle bus operation affects the tram’s travel time. Specifically, the influence of a traffic management intervention, such as a tram warning, on the travel time of both the automated shuttle bus and tram is investigated.
AB - Urban transportation systems face difficulties due to the increase in urban population, as urbanisation is accompanied by higher levels of travel times, traffic congestion, delays and accidents (Goetz, 2019). These issues will be more prevalent in the future, since United Nations (2019) estimate that by 2050, 68% of the world’s population will live in urban areas. Additional statistics suggest that urban passenger transport is responsible for 40% of greenhouse gas emissions (GHG) in the total passenger transport sector related GHG emissions (International Transport Forum (ITF), 2021). The alarming issue of urban transportation is congestion; it is directly related to motorisation and the expanded usage of automobiles (Rodrigue, 2020). Congestion is followed by an increased need for transportation infrastructure and road space taken away by vehicle parking (Rodrigue, 2020). Automated shuttle buses could provide a solution to these issues related to individual transportation and improve effectiveness of public transportation.
This paper presents a case study on an automated shuttle bus that shares a lane with atram for part of its route. The research question is whether shuttle bus operation affects the tram’s travel time. Specifically, the influence of a traffic management intervention, such as a tram warning, on the travel time of both the automated shuttle bus and tram is investigated.
KW - Automated shuttle bus
KW - Tram warning application
KW - Urban transportation
KW - Conference
KW - Decrease
KW - Urban rail
KW - Tram
KW - Germany
KW - Travel time
KW - Transport
U2 - 10.60850/bericht-a53
DO - 10.60850/bericht-a53
M3 - Conference article in proceedings
T3 - Reports of the Federal Highway and Transport Research Institute A 53
SP - 181
EP - 197
BT - Young Researchers Seminar 2025 – Proceedings of the 12th Young Researchers Seminar, hosted by BASt, 3 - 5 June, 2025 (YRS 2025)
PB - Federal Highway and Transport Research Institute - BAST
T2 - 12th Young Researchers Seminar, YRS 2025
Y2 - 3 June 2025 through 5 June 2025
ER -