TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Towards a fundamental understanding on microscopic transportation simulation of autonomous delivery robots
 
Options

Towards a fundamental understanding on microscopic transportation simulation of autonomous delivery robots

Citation Link: https://doi.org/10.15480/882.13081
Publikationstyp
Review Article
Date Issued
2024-06-19
Sprache
English
Author(s)
Dinar, Yousuf  
Verkehrsplanung und Logistik W-8  
Maaß, Jacqueline Bianca  
Verkehrsplanung und Logistik W-8  
Gertz, Carsten  
Verkehrsplanung und Logistik W-8  
Herausgeber*innen
Glavic, Drazenko  
TORE-DOI
10.15480/882.13081
TORE-URI
https://hdl.handle.net/11420/47932
Journal
Journal of road and traffic engineering  
Volume
70
Issue
2
Start Page
11
End Page
22
Citation
Journal of Road and Traffic Engineering 70 (2): 11-22 (2024)
Publisher DOI
10.31075/PIS.70.02.02
Publisher
Serbian Society for Roads VIA VITA
Peer Reviewed
true
A large number of studies were focused into the adoption of ADRs in the current transportation and logistics, safety in practical applications, and deployment of advanced robotic technology. Only a few contributed to the simulation of microscopic transportation for autonomous delivery robots. Many researchers emphasized the importance of overcoming modelling gaps and covering the scope of simulation as realistically as possible in order to obtain reliable results from the simulation. The versatility of the technology, the nature of the logistics and components of ADR in the real world, and other challenges present challenges to the transportation modeller when it comes to thinking about the possible representation of ADRs in the simulation environment. The gradual development of both computational capacity and underlying behavioural patterns in microscopic traffic simulators opens the door for researchers to develop realistic ADRs model in the microscopic transportation simulation to investigate road interaction and the resulting impacts. This review explored and organized the currently available technologies, operational methods, and simulation components that need to be considered when modelling ADRs in microscopic traffic simulation. Furthermore, this review provides a basic understanding for modellers to address the potential challenges to cope on recent technological developments in ADR modelling and simulation.
Subjects
ADRs
Autonomous delivery robots
Microscopic transportation
Simulation
DDC Class
380: Commerce, Communications, Transport
Funding Organisations
Open Access Publishing of Hamburg University of Technology (TUHH)
More Funding Information
Publishing fees supported by Funding Programme Open Access Publishing of Hamburg University of Technology (TUHH).
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc/4.0/
Publisher‘s Creditline
The authors would like to express their sincere gratitude to the partners and stakeholders of the TaBuLa-LOGplus project for their support. The authors gratefully acknowledge the contributions of Interlink, the Institute of Logistics Engineering, and the Institute of Transport Planning and Logistics at the Hamburg University of Technology
Loading...
Thumbnail Image
Name

Towards a fundamental understanding on Microscopic Transportation Simulation of Autonomous Delivery Robots.pdf

Type

Main Article

Size

900.7 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback