PATH

Parameter Estimation and Command Modification for Longitudinal Control of Heavy Vehicles

Bae, Hong S.
Gerdes, J. Christian
2003

Commercial heavy vehicles, unlike passenger vehicles, display huge variation in parameters such as vehicle mass. Coupled with lower actuation authorities (engine and brake capabilities), these variations can induce actuator saturation even in moderately demanding maneuvers, presenting challenge to the task of maintaining string stability in a platoon formation of heavy trucks. A new control scheme is proposed to put on-line bounds, or artificial saturation, on command signals via parameter estimation such that all members in a platoon can follow the reference commands without saturating...

Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and its Relationship to Land Use, Transportation, Safety, and Facility Type

Jones, Michael G.
Ryan, Sherry
Donlon, Jennifer
Ledbetter, Lauren
Ragland, David R.
Arnold, Lindsay
2010

This paper provides the data collection and research results for the Seamless Travel project. The Seamless Travel Project is a research project funded by Caltrans and managed by the University of California Traffic Safety Center, with David Ragland, PhD., as the Principal Investigator and Michael Jones as the Project Manager. The project is funded by Caltrans Division of Innovation and Research and is being conducted by the Traffic Safety Center of University of California Berkeley and Alta Planning + Design.Measuring bicycle and pedestrian activity is a key element to achieving the goals...

Neural Network Models For Automated Detection Of Non-recurring Congestion

Ritchie, Stephen G.
Cheu, Ruey L.
1993

This research addressed the first year of a proposed multi-year research effort that would investigate, assess, and develop neural network models from the field of artificial intelligence for automated detection of non- recurring congestion in integrated freeway and signalized surface street networks. In this research, spatial and temporal traffic patterns are recognized and classified by an artificial neural network.

A Simple Time Sequential Procedure For Predicting Freeway Incident Duration

Khattak, Asad J.
Schofer, Joseph L.
Wang, Mu-han
1994

The objective of this study is to develop a methodology for incident duration prediction. The authors first developed an understanding of factors that influence incident duration. A series of truncated regression models is used to predict incident duration. The models account for the fact that incident information at a Traffic Operations Center is acquired over the life of the incident. The implications of this simple methodology for incident duration prediction are discussed.

Estimating ATIS Benefits For The Smart Corridor

Sengupta, Raja
Hongola, Bruce
1998

This report studies the effects of Advanced Traveler Information Systems (ATIS) on traffic congestion in the Smart Corridor of the Santa Monica Freeway. Simulation modeling is used to estimate the potential travel time savings to divert traffic from the Smart Corridor to arterial roads when incidents occur. The study attempts to establish relationships between traffic management variables, such as incident detection time, incident duration, capacity reduction, percentage of traffic diversion, and duration of traffic diversion.

Workzone Safety Improvements through Enhanced Warning Signal Devices

Christianson, Kent
Greenhouse, Daniel
Cohn, Theodore
Kim, Roy Young
Chow, Christina
2008

The high incidence of accidents associated with work zones suggests that current warning lights and signals have been in need of improvement. In this project we have developed and tested an improved emergency warning light intended specifically for Caltrans work zone vehicles, and an enhanced rear warning light for shadow trucks, both intended to improve visibility and conspicuity, and to reduce reaction times for drivers approaching the work zone.

Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part I

Yi, Jingang
Suryanarayanan, Shashikanth
Howell, Adam
Horowitz, Roberto
Tomizuka, Masayoshi
Hedrick, Karl
Alvarez, Luis
2002

The purpose of this project is to extend and integrate existing results on fault diagnostics and fault management for passenger vehicles used in automated highway systems (AHS). These results have been combined to form a fault diagnostic and management system for the longitudinal and lateral control systems of the automated vehicles which has a hierarchical framework that complements the established PATH control system. Furthermore, the fault diagnostic module effectively monitors the sensors and actuators required for longitudinal and lateral control, while the fault handling module...

A Comparative Systems-level Analysis: Automated Freeways, Hov Lanes, Transit Expansion, Pricing Policies And Land Use Intensification

Johnston, Robert
1997

The focus of this project was to examine the potential travel, emissions, and consumer benefits of advanced freeway automation and travel demand management measures. The Sacramento Regional Travel Demand model (SACMET 95) was used to simulate the travel effects of travel demand management measures in the Sacramento region for a twenty year time horizon. The scenarios examined included various combinations of automated freeways, new High Occupancy Vehicle (HOV) lanes, transit, land use intensification, and pricing policies.

Development of Hardware in the Loop Simulation and Paramics/VS-PLUS Integration

Dickey, Susan
Li, Meng
Yee, Jonathan
Zennaro, Marco
Liu, Henry X.
Ma, Wenteng
Liu, Hongchao
Chen, Shuaiyu
Lin, Wei-hua
Li, Lefei
2008

The report describes three research efforts carried out under a project titled “Development of Hardware-in-the-Loop (HiL) Simulation and Paramics/VS-PLUS Integration” sponsored by the California Department of Transportation (Caltrans) under Task Order 5311. The first effort developed and evaluated traffic signal optimization with Hardware-in-the-Loop Simulation (HiLS), using the NIATT Controller Interface Device (CID) manufactured by McCain Traffic Supply to provide real-time linkage between the Paramics microscopic simulation and a NEMA TS1 controller. An adaptive control system...

Field Testing of RFID for Parking Management

Huang, Michael
Zhang, Wei-bin
Novick, Linda
Johnston, Scott
Paul, Chris
Warner, Rick
2009

This report summarizes a field evaluation project involving investigation of the feasibility ofusing RFID technology to record vehicle and traveler activities at transit parking lots and at the station entrance. The report presents the field test results collected at a Bay Area Rapid Transit (BART) station, the analyses on the reliability RFID technologies for correlating parking events to station entries and observations on whether travelers accept RFID concept. The study concluded that, under certain design constraints, RFID can be utilized for parking management applications. The report...