IOT connected predictive vehicle systems

An IoT Based Predictive Connected Car Maintenance Approach

Robust Stability Analysis for Connected Vehicle Systems

For implementation in real traffic, connected vehicle systems should be designed to be robust against uncertainties arising from human-driven vehicles. Assuming that the bounds of uncertainties are known, we propose a frequency domain approach to guarantee robust string stability and to select optimal control parameters. The method is demonstrated by two case studies.

Stability Analysis of Nonlinear Connected Vehicle Systems

In this paper, we investigate the nonlinear dynamics of connected vehicle systems. Vehicle-to-vehicle (V2V) communication is exploited when controlling the longitudinal motion of a few vehicles in the traffic flow. In order to achieve the desired systemlevel behavior, the plant stability and the head-to-tail string stability are characterized at the nonlinear level using Lyapunov functions. A m...

Dynamics of Heterogeneous Connected Vehicle Systems

In this paper, we propose a method to analyze the longitudinal dynamics of heterogeneous connected vehicle systems including human-driven vehicles and vehicles driven by connected cruise control. Human reaction time and digital sampling time are incorporated in the models. Conditions of plant stability and head-to-tail string stability are presented.

Predictive Model for Human-Unmanned Vehicle Systems

The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Advances in automation are making it possible for a single operator to control multiple unmanned vehicles (UVs). However, the complex nature of these teams presents a difficult and exciting challenge for designers of human-UV systems. To build such systems effectively , models ...