Title
Estimating Route Choice Characteristics of Truck Drivers from Sparse Bluetooth Data through Data Fusion and Bi-objective Optimization
Author
Sharma, S.
van Lint, H.
Tavasszy, L.A.
Snelder, M.
Publication year
2022
Abstract
Optimizing route choices for truck drivers is a key element in achieving reliable road freight operations. For commercial reasons, it is often difficult to collect freight activity data through traditional surveys. Automated vehicle identification (AVI) data on fixed locations (e.g., Bluetooth or camera) are low-cost alternatives that may hold large potential to estimate route choice models. However, in case these AVI sensors are sparsely located, the resulting data lack actual route choices (or labels), which limits their application to estimate route choice models. This paper overcomes this limitation with a new two-step approach based on fusing AVI and loop detector data. First, a sparse Bluetooth dataset is fused with travel times estimated from densely spaced loop-detector data. Second, the combined dataset is fed into a bi objective optimization method which simultaneously infers the actual route choices of truck drivers between an origin and destination pair and estimates the parameters of a route choice (discrete-choice based) model. We apply this approach to investigate the route choice behavior of truck drivers operating to and from the port of Rotterdam in the Netherlands. The proposed model can distinguish between peak and off-peak periods and identify different segments of truck drivers based on a latent classes choice analysis. Our results indicate the potential of traffic and logistics interventions in improving the route choices of truck drivers during peak hours. Overall, this paper demonstrates that it might be possible to estimate route choice characteristics from readily available data that can be retrieved from traffic management agencies
Subject
Route choice
Truck drivers
Bluetooth
Bi-objective optimization
Logit models
Latent class choice models
Mobility & Logistics
Urbanisation
To reference this document use:
http://resolver.tudelft.nl/uuid:e07298a0-a83b-4143-b39a-091d1a991e6b
TNO identifier
981751
Source
Transportation Research Record: Journal of the Transportation Research Board, 1-21
Document type
article