Control of Heavy Duty Vehicle

AHS Deployment
System Operations

1. THE AHS/STREET INTERFACE EFFECTS OF CAPACITY CONCENTRATIONS ON SYSTEM PERFORMANCE

Task Order 4216

Randolph Hall, University of Southern California
hall@atlas.usc.edu, http://www.usc.edu/dept/ise/faculty/Hall.html

This project is a continuation of MOU386. It continues the research objective to determine how the interface between the AHS and the arterial street network could be designed to accommodate the high volume of AHS traffic, and evaluate ways to maximize the benefits that accrue from added capacity. The focus is on how to accommodate concentrations of capacity within narrow corridors or a limited number of interchanges, and its implications on the surrounding street system. The project will include three components, covering strategic modeling, operational modeling and deployment modeling. Strategic modeling will be used to create and compare models for generic scenarios, and evaluate system performance under a range of strategies. Operational modeling will be used to develop policies for controlling flows through, and queues at, interchanges and entry/exit points. Deployment modeling will focus on a few sites in California, with detailed analysis of requirements for accommodating exiting and entering traffic at the particular location.

Online papers: PWP-2000-26.pdf (548 K)

2) EVALUATION OF THE EFFECTS OF ICC VEHICLES IN MIXED TRAFFIC

Task Order 4217

Petros Ioannou, University of Southern California
ioannou@usc.edu, http://www-rcf.usc.edu/~ioannou/ http://www.usc.edu/dept/catt

This project is a continuation of MOU 392. It concludes ongoing research to evaluate the effects of intelligent cruise control (ICC) vehicles in a mixed traffic environment. Analytical and simulation results involving ICC vehicles in mixed traffic have been developed under MOU 317. This project will carry out actual vehicle following experiments to validate the analytical and simulation results, and quantify the benefits of ICC vehicles in mixed traffic.

Online papers: PRR-99-14 (548 K)

3) CONCEPTUAL DEVELOPMENT AND PERFORMANCE ASSESSMENT FOR THE DEPLOYMENT STAGING OF ADVANCED VEHICLE CONTROL AND SAFETY SYSTEMS

Task Order 4230

Mark Miller, PATH
mamiller@uclink.berkeley.edu, www.path.berkeley.edu/PATH/General/Staff/miller.html

This project represents a bridge between PATH research that is nearing completion (Project MOU 366) and Demo 2002. MOU 366, in its investigation of deployment staging leading to automated highway systems, has modeled the effects of driver control assistance systems relative to human driving, including both autonomous and cooperative cruise control systems, evaluated the effects of such systems on highway traffic flow capacity, and examined institutional issues. The proposed work will focus on three areas of investigation: 1. Evaluation of the effects of driver control assistance systems relative to human driving for the multilane highway case with light duty passenger vehicles, 2. Conceptual development for similar and eventual modeling and evaluation of trucks and buses, and 3. Review of the state of international research (including simulation and evaluation) and technology demonstrations of vehicle-highway automation systems. These three tasks will help fill the gaps in knowledge about deployment staging toward cooperative vehicle-highway automated systems and provide a more complete picture at Demo 2002.

4) SENSOR-FRIENDLY HIGHWAYS: INVESTIGATION OF PROGRESSIVE ROADWAY CHANGES TO FACILITATE DEPLOYMENT OF AHS

MOU 368

Jim Misener, PATH
misener@path0.its.berkeley.edu, www.path.berkeley.edu/PATH/General/Staff/misener.html

One of the primary impediments to the implementation of AVCSS warning and control assistance systems is the complexity of the roadway environment ``seen'' by in-vehicle sensors. This project seeks strategies for retrofitting roadway and roadside features so as to enhance the ability of vehicle sensors to discriminate target vehicles from the cluttered roadway environment. This project expands on promising ideas that were starting to develop at the conclusion of the NAHSC's work, regarding passive cooperation between vehicles and roadway infrastructure. It includes development of mathematical models of the roadway environment in the radar and near-infrared sensor regimes and use of those models to evaluate different kinds of cooperative markings for vehicles and roadway infrastructure elements. This work can help to establish California in the leadership role for providing roadway infrastructure cooperation for the USDOT IVI program.

updated 3/1/2001