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Endbericht des Forschungsvorhabens TaBuLa-LOGplus
Citation Link: https://doi.org/10.15480/882.15021
Publikationstyp
Research Report
Date Issued
2025
Sprache
German
Author(s)
Rahlf, Christopher
Blunder, Noel Moritz
Maroofi, Sean
Rose, Hendrik Wilhelm
Schneider, Daniela
Yadav, Abhishek
Barz, Christian
Bayer, Immanuel
Strothmann, Sonja
Herausgeber*innen
TORE-DOI
Citation
Technische Universität Hamburg (2025)
Publisher
Technische Universität Hamburg
The TaBuLa-LOGplus project was based on the results of the two previous projects TaBuLa and TaBuLa-LOG in order to significantly advance automation in the interaction between passenger and freight transport. A central goal of the project was the development of a manufacturer- and vehicle-independent smart control centre, which integrates both the automated transport robots further developed by TUHH and the conventional buses used by vhh.mobility. This offers the added value of optimal use of resources by bundling transport and transportation tasks. The control centre also meets the legal requirement that the automated vehicle can be shut down by a human at any time. Data protection and security were always considered and taken into account. In tests, the control centre could be used by both experienced and non-experienced users for order creation and vehicle monitoring.
To achieve this high level of automation, the transport robots were further developed to the point where they can get in and out of a conventional bus independently in order to carry out transport tasks transmitted by the control centre. Additionally, the topic of artificial intelligence (AI) was included into the TaBuLa-LOGplus project. To ensure safe operation of the transport robots in complex and dynamic environments, advanced AI methods for environment detection and situational awareness were investigated. The aim was to automatically detect anomalies and potential hazards and respond appropriately. The impact of the transport robots was investigated through accompanying analyses, simulations and assessments regarding traffic, ecological, economic and social effects. The analysis of traffic effects according to Vester showed that the system can be consciously controlled via highly active and active variables and certain causal relationships (e. g. supply and demand) must be considered. Parcel delivery using transport robots on the last mile can offer ecological and economic advantages if they are transported by an electrically powered bus. The additional simulations also lead to the conclusion that the integration of autonomous transport robots into public transport can be safe and cost-efficient.
Overall, the TaBuLa-LOGplus project was the successful next step of the previous projects, as it continued, further developed and incorporated new frame-work conditions.
To achieve this high level of automation, the transport robots were further developed to the point where they can get in and out of a conventional bus independently in order to carry out transport tasks transmitted by the control centre. Additionally, the topic of artificial intelligence (AI) was included into the TaBuLa-LOGplus project. To ensure safe operation of the transport robots in complex and dynamic environments, advanced AI methods for environment detection and situational awareness were investigated. The aim was to automatically detect anomalies and potential hazards and respond appropriately. The impact of the transport robots was investigated through accompanying analyses, simulations and assessments regarding traffic, ecological, economic and social effects. The analysis of traffic effects according to Vester showed that the system can be consciously controlled via highly active and active variables and certain causal relationships (e. g. supply and demand) must be considered. Parcel delivery using transport robots on the last mile can offer ecological and economic advantages if they are transported by an electrically powered bus. The additional simulations also lead to the conclusion that the integration of autonomous transport robots into public transport can be safe and cost-efficient.
Overall, the TaBuLa-LOGplus project was the successful next step of the previous projects, as it continued, further developed and incorporated new frame-work conditions.
Subjects
robotics
transport
autonomous
connectivity
computer vision
DDC Class
388: Transportation
006: Special computer methods
363.7: Environmental Problems
629.8: Control and Feedback Control Systems
Funding Organisations
Bundesministerium für Digitales und Verkehr (BMDV)
More Funding Information
Förderkennziffer 45AVF3003A-C
Publication version
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