A recently proposed strategy for evaluating the string stability properties of longitudinal vehicle controllers used in Automated Highway Systems (AHS) is to consider the platoon as a mass-spring-damper system. This simpliied analysis framework results in linear closed-loop systems, yielding transfer functions which characterize the spacing error response of the platoon. These transfer function...

SmartAHS is a specification, simulation, and evaluation framework for modeling, control and evaluation of Automated Highway Systems (AHS). SmartAHS is developed using SHIFT, a new programming language with simulation semantics.This paper discusses the requirements that have led to the development of SmartAHS and SHIFT, summarizes the main characteristics of the SHIFT language, and illustrates h...

The objective of an Automated Highway System (AHS) is to increase the safety and throughput of the existing highway infrastructure by introducing traffic automation. AHS is an example of a large scale, multiagent complex dynamical system and is ideally suited for a hierarchical hybrid controller. We discuss the design of safe and efficient hybrid controllers for regulation of vehicles on an AHS...

This paper identifies the opportunities for making significant improvements to bus transit operations by combining a variety of technical and service innovations that have heretofore been treated separately. Recently, increased attention has been devoted to “bus rapid transit” as an operational concept for enabling buses to provide a level of service closer to that normally only achievable in m...

This paper describes two multi-agent systems developed at Southwest Research Institute to address issues in automated planning. The Autonomous Underwater Vehicle (AUV) Planning system uses multiple cooperative agents to generate a path for the AUV. The Medical Test Planning System (MTPS) consists multiple agents that incrementally build a schedule for a series of medical tests constrained by th...

Automated driving requires designing a system capable of maintaining safety while simultaneously maintaining passenger comfort. Models of highway driving have high dimensionality and stochasticity traditionally specifying the histories for a large, varying number of agents in a continuous state and action space. Traditional value-based reinforcement learning methods require exponential time in ...

The objective of an Automated Highway System (AHS) is to increase the safety and through-put of the existing highway infrastructure by introducing traac automation. AHS is an example of a large scale, multi-agent, complex dynamical system and is ideally suited for a hierarchical hybrid controller. We discuss the design of safe and eecient hybrid controllers for regulation of vehicles on an AHS....

We present a simulation-based approach to assess the safety impacts of vehicles equipped with Automated Driving Systems (ADS) in mixed traffic Human-driven Vehicles (HV). Specifically, we compare two generic longitudinal strategies ADS handle cut-in: Reactive acting only when cut-in vehicle crosses target lane boundary, and Predictive at onset manoeuvre. identify their distinctive effects on un...