This report introduces an optimal preview control algorithm which utilizes preview information pertaining to road curvature as well as superelevation angle for vehicle lateral control purposes. The optimal control law consists of both feedback control action and feedforward preview control...

This report is concerned with the dynamic modeling of the tractor- semitrailer vehicles in Automated Highway Systems (AHS). The objectives of the research are to characterize the dynamic response of articulated heavy-duty vehicles, identify the key system parameters, develop control algorithms...

This report summarizes an experimental effort in integrating and testing an automated vehicle lateral control system. The project, a cooperative effort between the California Partners for Advanced Transit and Highway ( PATH) Program and IMRA America, Inc., included a discrete roadway reference...

This report deals with the lateral guidance of vehicles, with focus on lane change maneuvers. Two approaches are presented for lane changes maneuvers. The first is to treat the maneuvers as a tracking control problem. A virtual desired trajectory (VDT) is used a tracking control approach. The...

The objectives of the project are: (1) to study the behavior of existing vehicle lateral control systems in the event of magnetometer failures, (2) to design controllers that use the output from only one set of magnetometers, and (3) to develop an autonomous lateral control scheme that uses no...

In this report, a hybrid observer is proposed as a method of estimating position and velocity of a vehicle when the primary output is a series of discrete magnetic markers placed along a roadway. For the preliminary studies, the vehicle was modeled as a pure inertial system with acceleration...

In this report, a combined longitudinal and lateral eighteen-state vehicle chassis, engine, and drive train model is developed and validated against existing longitudinal-only and lateral-only vehicle models. The full-size model is simplified to a three-state model to facilitate controller...

This report presents two performance enhancement lateral control designs for single unit heavy vehicles. It is shown that robust performance can be achieved using the techniques on a feedback linearized system.

A fuzzy rule-based controller is applied to lateral guidance of a vehicle for an automated highway system. The fuzzy rules, based on human drivers' experiences, are developed to track the center of a lane in the presence of external disturbances and over a range of vehicle operating conditions.