The Design of Vehicle Adaptive Cruise Control Based on Macroscopic Traffic Behavior Applying Model Predective Control Strategy

Mozhgan Faramarzi, Sajjad Samiee, Shahram Azadi, Reza Kazemi

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Nowadays, driver-assistance systems are important subjects in vehicle technologies. The Adaptive Cruise Control (ACC) system is one of the emerging vehicle technologies which was mainly designed to enhance driver comfort and passenger’s safety. The objective of this study is to propose an ACC algorithm based on the Model Predictive Control (MPC) framework and macroscopic traffic flow features such as density and speed.
In this paper, a novel adaptive cruise control system with a hierarchical control architecture is developed. An upper level controller calculates the vehicle desired longitudinal acceleration considering traffic flow parameters and a lower level controller determines the control signal of throttle and brake pedal to track the desired acceleration.
The upper level controller is synthesized under the framework of MPC theory in which the deterministic and stochastic models of traffic behavior has been taken into consideration. The desired acceleration and the desired future angle of throttle are calculated in ACC system using the model predictive control. Deterministic traffic behavior and stochastic behavior of front vehicle are considered as the inputs to the ACC system block. In vehicle dynamic model box, a complete longitudinal dynamic model of vehicle including engine, transmission system, tire and vehicle body dynamics are applied.
The complete longitudinal dynamic model of the vehicle, considering macroscopic traffic parameters and stochastic behavior of the front vehicle in ACC system are the novelties of this paper in comparison to other works conducted in this field.
Original languageEnglish
Title of host publicationFISITA World Automotive Congress 2016
Publication statusPublished - 2016

Fingerprint

Adaptive cruise control
Control systems
Model predictive control
Dynamic models
Controllers
Stochastic models
Control theory
Brakes
Tires
Engines

Keywords

  • Model Predictive Control
  • Adaptive Cruise Control
  • Macroscopic Traffic Parameters
  • Complete Longitudinal Dynamic Model
  • Stochastic Behavior

Cite this

The Design of Vehicle Adaptive Cruise Control Based on Macroscopic Traffic Behavior Applying Model Predective Control Strategy. / Faramarzi, Mozhgan; Samiee, Sajjad; Azadi, Shahram; Kazemi, Reza.

FISITA World Automotive Congress 2016. 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Faramarzi, Mozhgan ; Samiee, Sajjad ; Azadi, Shahram ; Kazemi, Reza. / The Design of Vehicle Adaptive Cruise Control Based on Macroscopic Traffic Behavior Applying Model Predective Control Strategy. FISITA World Automotive Congress 2016. 2016.
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AB - Nowadays, driver-assistance systems are important subjects in vehicle technologies. The Adaptive Cruise Control (ACC) system is one of the emerging vehicle technologies which was mainly designed to enhance driver comfort and passenger’s safety. The objective of this study is to propose an ACC algorithm based on the Model Predictive Control (MPC) framework and macroscopic traffic flow features such as density and speed.In this paper, a novel adaptive cruise control system with a hierarchical control architecture is developed. An upper level controller calculates the vehicle desired longitudinal acceleration considering traffic flow parameters and a lower level controller determines the control signal of throttle and brake pedal to track the desired acceleration.The upper level controller is synthesized under the framework of MPC theory in which the deterministic and stochastic models of traffic behavior has been taken into consideration. The desired acceleration and the desired future angle of throttle are calculated in ACC system using the model predictive control. Deterministic traffic behavior and stochastic behavior of front vehicle are considered as the inputs to the ACC system block. In vehicle dynamic model box, a complete longitudinal dynamic model of vehicle including engine, transmission system, tire and vehicle body dynamics are applied.The complete longitudinal dynamic model of the vehicle, considering macroscopic traffic parameters and stochastic behavior of the front vehicle in ACC system are the novelties of this paper in comparison to other works conducted in this field.

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