A Multi-Class Lane-Changing Advisory System for Freeway Merging Sections Using Cooperative ITS

Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. The application balances the distribution of traffic over the available lanes of a freeway, by...

A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...

A data-driven time-dependent routing and scheduling for activity-based freight transport modeling

Truck flow patterns can best be understood through the study of freight activities on a transportation network. These activities are often observable after the execution of tours resulting from a routing and scheduling optimization process where the traditional Capacitated Vehicle Routing Problem (CVRP) is used to minimize multiple objectives...

Short-term prediction of outbound truck traffic from the exchange of information in logistics hubs: A case study for the port of Rotterdam

A Multi-class Lane-changing Advisory System for Freeway Merging Sections

Truck Arrival Shift: An Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal gates

This paper introduces an advisory-based time slot management system to control truck arrivals at seaport terminals with the aim to reduce congestion at terminal gates. We propose, develop and apply a modeling framework to assess the impact of a truck arrival shift for a use case in the Port of Rotterdam. This system is designed to apply control...

Activity-Based Freight Transport Modeling: A Surrogate-Based Optimization Model to Estimate Freight Vehicles Time-Dependent Routing and Scheduling

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...

Truck identification on freeways using Bluetooth data analysis

Bluetooth technology is receiving more and more attention to support travel time measurement for intelligent transportation systems (ITS) applications. Bluetooth receivers are used to time-stamp passing identical vehicles at different locations based on their unique MAC addresses. This information is useful to predict travel times and estimate...