Purpose and goal: Implementing novel solutions in the design and management of (un)loading zones (LZ) for freight vehicles can lead to a smarter use of urban space for the public sector and to more sustainable logistics for urban freight companies. This feasibility study aims at connecting 5 different actors (a parking application provider with international experience in LZ management, urban freight strategists from the public sector, a transport and logistics company, a truck manufacturer and academia) to explore potential solutions for LZ data-driven management under budget constraints.
Expected results and effects:
1. Produce a compilation of existing technologies and practices to manage LZ worldwide
2. Produce a guideline describing the type of decisions to be made when designing a LZ and data needs.
3. Develop a model that uses historical data to anticipate LZ use at different times of day.
4. Develop a routing model to assess potential savings from forecasting LZ use.
5. Connect the different actors involved in the design, management and use of LZ.
6. Produce a roadmap to implement digitalization for smart LZ system.
7. Evaluate the potential for a pilot test.
Approach and implementation:
1. Administration and project meetings: Start: January 2019 End: September 2019 2. State of the art in LZ management (WP1) Start: January 2019 End: March 2019
3. Smart Loading Zones Design and Operation (WP2) Start: February 2019 End: April 2019
4. Forecasting LZ demand using machine learning techniques (WP3) Start: February 2019 End: July 2019
5. Integrating smart LZ information to enhance freight distribution routing efficiency and sustainability (WP4) Start: July 2019 End: September 2019
6. Evaluating pilot test in Swedish cities (WP5) Start: February 2019 End: September 2019
Docent vid Chalmers, Technology Management and Economics, Service Management and Logistics
Funding Chalmers participation during 2019–2020