Real-Time Dynamic Route Optimization Based on Predictive Control Principle

نویسندگان

چکیده

The principle of predictive control is applied to research on real-time dynamic route optimization traffic travel, and a model based proposed. Taking the driving time as controlled variable, speed manipulated some conditions disturbance factors, shortest set value, static reference system, objective function with time, which defined performance established. According change in road network state optimal solution result function, selection realized by switching among different routes, rolling combination routes are implemented process. A unique method also used obtain this study, scientific, reasonable, fast, convenient. overcomes shortcomings determining depending flow prediction prediction. simulation results case study prove that algorithm correct better. most important feature it takes desired goals, can achieve global path time. proposed has good innovation practical applications.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Economic Dynamic Real-Time Optimization and Nonlinear Model-Predictive Control on Infinite Horizons

This paper investigates the formulation of nonlinear model-predictive control problems with economic objectives on an infinite horizon. The proposed formulation guarantees nominal stability for closed-loop operation. Furthermore, a novel solution method of the infinite horizon method through a transformation of the independent time variable is employed. The closed-loop optimization with infinit...

متن کامل

Real-Time Optimization for Economic Model Predictive Control

In this paper, we develop an efficient homogeneous and self-dual interior-point method for the linear programs arising in economic model predictive control. To exploit structure in the optimization problems, the algorithm employs a highly specialized Riccati iteration procedure. Simulations show that in comparison to conventional interior-point methods, our solver is a) significantly faster per...

متن کامل

Integration of real-time optimization and model predictive control

This paper proposes a controller design approach that integrates RTO and MPC for the control of constrained uncertain nonlinear systems. Assuming that the economic function is a known function of constrained system’s states, parameterized by unknown parameters and time-varying, the controller design objective is to simultaneously identify and regulate the system to the optimal operating point. ...

متن کامل

On real-time robust model predictive control

High-speed applications impose a hard real-time constraint on the solution of a model predictive control (MPC) problem, which generally prevents the computation of the optimal control input. As a result, in mostMPC implementations guarantees on feasibility and stability are sacrificed in order to achieve a realtime setting. In this paper we develop a real-time MPC approach for linear systems th...

متن کامل

Nonlinear Model Predictive Control and Dynamic Real Time Optimization for Large-scale Processes

This dissertation addresses some of the theoretical and practical issues in optimized operations in the process industry. The current state-of-art is to decompose the optimization into the so-called two-layered structure, including real time optimization (RTO) and advanced control. Due to model discrepancy and inconsistent time scales in different layers, this structure may render suboptimal so...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3176950