Activity-Based Freight Transport Modeling: A Surrogate-Based Optimization Model to Estimate Freight Vehicles Time-Dependent Routing and Scheduling
van Lint, J.W.C.
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.
Activity-Based Freight Modeling
To reference this document use:
Data-Driven Vehicle Routing Problem
Mobility & Logistics
TRB 101st Annual Meeting of the Transportation Research Board, 1-17