A novel bi-level distributed dynamic optimization method of ship fleets energy consumption

The optimization of ship energy consumption is attracting a great deal of attention, as societies seek to save energy and reduce emissions. Shipping companies are more concerned with the energy consumption of a ship fleet, as opposed to that of a single ship. Because the energy consumption of a fleet is influenced by multiple factors...

Dynamic optimization of ship energy efficiency considering time-varying environmental factors

Nowadays, optimization of ship energy efficiency attracts increasing attention in order to meet the requirement for energy conservation and emission reduction. Ship operation energy efficiency is significantly influenced by environmental factors such as wind speed and direction, water speed and depth. Owing to inherent time-variety and...

An Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks

This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...

Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits

In this paper we develop a fast model predictive control (MPC) approach for variable speed limit coordination to resolve freeway jam waves. Existing MPC approaches that are based on the second-order traffic flow models suffer from high computation load due to the non-linear and non-convex optimization formulation. In recent years, simplified...

Integrated network linear-quadratic model predictive control for disturbance on freeways

We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). The main objective is to maximize the throughput of the network by guiding traffic flow towards to insufficiently utilized infrastructures. Due to the linear property of the LQMPC, it is fast enough for real...

Fastlane: Traffic flow modeling and multi-class dynamic traffic management

Dynamic Traffic Management (DTM) aims to improve traffic conditions. DTM usually consists of two steps: first the current traffic is estimated, then appropriate control actions are determined based on that estimate. In order to estimate and control the traffic, a suitable traffic flow model that reproduces the properties of traffic well must be...