Title
Activity-Based Freight Transport Modeling: A Surrogate-Based Optimization Model to Estimate Freight Vehicles Time-Dependent Routing and Scheduling
Author
Nadi, A.
York-Smith, N.
van Lint, J.W.C.
Tavasszy, L.A.
Snelder, M.
Publication year
2021
Abstract
The spatial and temporal catachrestic of freight road transport is important to study daily patterns of freight activities. This requires a model that can reproduce these spatial-temporal patterns. This paper proposes a surrogate-based optimization method to calibrate a data-driven time-dependent vehicle routing and scheduling model that can be used for understanding and simulating freight vehicles activities. This model seeks to capture and replicate the tour-based behaviour of carriers and their tactical decisions. The model can learn and synthesize the most likely tour flows from shipment flow data, partially observed tours, and travel times between traffic analysis zones per time interval. This model allows for descriptive analysis of freight transport and policy assessment for freight and traffic management. The results show that the model is able to fit the data accurately and generate tours with reasonably close aggregate features to the ground truth.
Subject
Activity-Based Freight Modeling
Surrogate-Based Optimization
Data-Driven Vehicle Routing Problem
Mobility & Logistics
Urbanisation
To reference this document use:
http://resolver.tudelft.nl/uuid:cb8ab8fa-7df6-4fbd-8919-7a46ccd6dbe1
TNO identifier
981768
Source
TRB 101st Annual Meeting of the Transportation Research Board, 1-17
Document type
conference paper