Abstract
—Urban Traffic is recognized as one of the major CO2
contributors that puts a high burden on the environment.
Different attempts have been made for reducing the impacts
ranging from traffic management actions to shared-vehicle
concepts to simply reducing the number of vehicles on the streets.
By relying on cooperative approaches between different logistics
companies, such as sharing and pooling resources for bundling
deliveries in the same zone, an increased environmental benefit
can be attained. To quantify this benefit we compare the CO2
emissions, fuel consumption and total delivery time resulting from
deliveries performed by one cargo truck with two trailers versus
by two single-trailer cargo trucks under real conditions in a
simulation scenario in the city of Linz in Austria. Results showed
a fuel consumption and CO2 emissions reduction of 28% and 34%
respectively in the scenario in which resources were bundled in one
single truck.
Original language | English |
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Title of host publication | 15th Iberian Conference on Information Systems and Technologies, Sevilla, Spain. |
Number of pages | 6 |
DOIs | |
Publication status | Published - 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