Highway obstacle detection is a challenging problem. Highways present an unknown and dynamic environment with real-time constraints. In addition, the high speeds of travel force a system to detect objects at long ranges. Although there are a number of methods that can successfully detect moving vehicles, the more difficult problem of finding small, static road debris such as tires or crates rem...

The Automated Highway Systems ahs project at UC Berkeley is part of a comprehensive program initiated by the U S government under the Intermodal Surface Transportation E ciency Act of to improve safety and reduce congestion in the surface transportation system UC Berkeley s path Laboratory is part of a nine member consortium along with General Motors Bechtel Parsons Brinckerho Martin Marietta D...

We propose an artijicial intelligence technique called stochastic learning automata to design an intelligent vehicle path controller. Using the information obtained by on-board sensors and local communication modules, two automata are capable of learning the best possible actions to avoid collisions. Although the learning approach taken is capable of providing a safe decision, optimization of t...

The merging process in an Automated Highway System (AHS) is divided into a speed adjustment stage and a lane merging stage. Three important parameters, namely, acceptability, availability and pursuability, are analyzed to characterize the AHS lane gap features for the ideal, smooth and safe merging of the ramp vehicles. Three control guidance laws, namely, linear, optimal and parabolic speed pr...

A major factor that contributes to congestion on today’s freeways is the severe inhomogeneities of the traffic streams. If the traffic density can be controlled, congestion can be eliminated and delays can be reduced. This goal can be achieved by properly controlling the mean speed of traffic on each section of the freeway lane as well as the ramp entering rates. In this paper a fuzzy traffic d...

A hierarchical controller for dealing with faults and adverse environmental conditions on an automated highway system (AHS) is proposed. The controller extends a previous control hierarchy designed to work under normal conditions of operation. The faults are classified according to the capabilities remaining on the vehicle or roadside after the fault has occurred. Information about these capabi...

The report deals with an introduction to the control aspect of platoon maneuvers in Automated Highway Systems. The different platoon maneuvers have been introduced. The first part of the report consists of a review of the existing literature in this area. The survey is split up into the quasi-synchronous and vehicle follower controller methods of approach to the problem. The subsequent sections...

A, utomatic vehicle following is an important feature of a fully rpartially automated highway system (AHS). The on-board vehicle control system should be able to accept and process inputs from the driver, the infrastructure, and other vehicles, perform diagnostics. and provide the appropriate commands to actuators so that the resulting motion of the vehicle is safe and compatible with the AHS o...

This paper briefly describes a model, designed to automate data acquisition and analysis for planning and scheduling highway construction projects. The paper briefly describes the proposed model, and focuses primarily on its automation aspects. Geographic information systems is employed to analyze spatial data and estimate cut and fill quantities. The model also stores activities typically invo...