Efficient Transport Logistics: An Approach for Urban Freight Transport in Austria

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Abstract

To alleviate traffic congestion that results from the growth of e-commerce we propose an approach in the city of Linz, Austria by relying on shared distribution centers from different companies. We develop two algorithms to find out the optimal location for the hubs and calculate the shortest path between locations. Results showed that in an urban environment, the implementation of hubs results in a reduction of the number of delivery vehicles. It reduces driving distances from hub to the customers, and also benefits the drivers that need to return home every day.
Original languageEnglish
Title of host publication15th Iberian Conference on Information Systems and Technologies, Sevilla, Spain.
EditorsAlvaro Rocha, Bernabe Escobar Perez, Francisco Garcia Penalvo, Maria del Mar Miras, Ramiro Goncalves
Number of pages6
ISBN (Electronic)9789895465903
DOIs
Publication statusPublished - 2020

Fields of science

  • 303 Health Sciences
  • 303008 Ergonomics
  • 201306 Traffic telematics
  • 202031 Network engineering
  • 202036 Sensor systems
  • 202038 Telecommunications
  • 202040 Transmission technology
  • 203 Mechanical Engineering
  • 211908 Energy research
  • 211911 Sustainable technologies
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102002 Augmented reality
  • 102003 Image processing
  • 102013 Human-computer interaction
  • 102015 Information systems
  • 102019 Machine learning
  • 102021 Pervasive computing
  • 102024 Usability research
  • 102026 Virtual reality
  • 102029 Practical computer science
  • 102034 Cyber-physical systems
  • 501026 Psychology of perception
  • 501 Psychology
  • 501025 Traffic psychology
  • 201305 Traffic engineering
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202003 Automation
  • 202030 Communication engineering
  • 202034 Control engineering
  • 202035 Robotics
  • 202037 Signal processing
  • 202041 Computer engineering
  • 203004 Automotive technology
  • 211902 Assistive technologies
  • 211909 Energy technology
  • 211917 Technology assessment
  • 501030 Cognitive science

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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