Functional sensor modeling for Automated Highway Systems simulations
نویسندگان
چکیده
Sensor technology plays a critical role in the operation of the Automated Highway System (AHS). The proposed concepts depend on a variety of sensors for positioning, lane-tracking, range and vehicle proximity. Since large subsystems of the AHS will be designed and evaluated in simulation before deployment, it is important that simulators make realistic sensor assumptions. Unfortunately, the current physical sensor models are inadequate for this task since they require detailed world state information that is unavailable in a simulated environment. In this paper, we present an open-ended, functional sensor hierarchy, incorporating geometric models and abstract noise characteristics, which can be used directly with current AHS tools. These models capture the aspects of sensing technology that are important to AHS concept design such as occlusion, and field of view restrictions, while ignoring physical-level details such as electromagnetic sensor reflections. Since the functional sensor models operate at the same level of granularity as the simulation platform, complete integration is assured. The hierarchy classifies sensors into functional groups. The models at a particular level incorporate characteristics that are common to all sensors in its subgroups. For example, range sensors have a parameter corresponding to a maximum effective range, while lane-trackers include information pertaining to lateral accuracy.
منابع مشابه
Object-oriented Design of Automated Highway Simulations Using the Shift Programming Language
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...
متن کاملMultiple Stochastic Learning Automata for Vehicle Path Control in an Automated Highway System - Systems, Man and Cybernetics, Part A, IEEE Transactions on
This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...
متن کاملMultiple stochastic learning automata for vehicle path control in an automated highway system
This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...
متن کاملOn the feasibility of large-scale automated highways
We investigate the use of large-scale Automated Highway Systems, also called one-dimensional vehicle platoons, as a practical traffic mitigation solution. We review recent theoretical results related to vehicle platooning and discuss their implications on the scalability and safety of large-scale platoons. We also quantify the performance of different platoon control strategies through simulati...
متن کاملEntrance Capacity of an Automated Highway System
T his paper evaluates the entrance capacity and queueing delay for Automated Highway Systems through use of simulations and analytical modeling. Queueing statistics are also used to determine the sustainable capacity of alternative concepts, taking trip length distribution and spacing between ramps into consideration. Based on safety-spacing head ways (produced in a separate analysis), the mos...
متن کامل