Author: Larry HeadPublisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 76
Book Description
Real-time Adaptive Ramp Metering
Author: Larry HeadPublisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 76
Book Description
Real-time Adaptive Ramp Metering
Author: Larry HeadPublisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 64
Book Description
Real-time Adaptive Ramp Metering
Author: Arizona Transportation Research CenterPublisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 4
Book Description
Feedback Ramp Metering in Intelligent Transportation Systems
Author: Pushkin KachrooPublisher: Springer Science & Business Media
ISBN: 1441989617
Category : Technology & Engineering
Languages : en
Pages : 343
Book Description
Feedback Ramp Metering in Intelligent Transportation Systems is the first book on the topic of using feedback control (also called real-time traffic control or adaptive control by some traffic engineers) in ramp metering. It provides traffic theory fundamentals and then the design of feedback controllers for isolated and coordinated ramp metering problems. Software simulation code in Matlab and Paramics is provided in the book so that the reader can get a hands-on feel for the various algorithms. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
An Advanced Real-time Ramp Metering System (ARMS)
Author: Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 0
Book Description
This research report presents a three-level, highway ramp metering control scheme. In the first level, ramp controllers distributively compute ramp metering rates based on system-wide information. The system adapts quickly to changing traffic conditions; it is modular and allows scalable and robust implementation. The O-D prediction algorithm is adaptive and very accurate. The second level consists of an optimal, self-learning, congestion predictor algorithm that may predict all short-term traffic flow-breakdowns. The algorithm, using self-learning, utilizes sequences of traffic patterns to improve its prediction accuracy. The third level is a congestion resolution scheme which overcomes many of the drawbacks of existing techniques. It balances the congestion resolution time with the services quality of the surface street. Simulation results show that application of the three-level control algorithm will improve the freeway and surface street service.
Design, Field Implementation and Evaluation of Adaptive Ramp Metering Algorithms
Author: Dengfeng SunPublisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 183
Book Description
The main objectives of Task Order 4136 are (1) the design of improved freeway on-ramp metering strategies that make use of recent developments in traffic data collection, traffic simulation, and control theory, and (2) the testing of these methods on a 14-mile segment of Interstate 210 Westbound in southern California. To date, the major accomplishments of this project include (i) the development of a complete procedure for constructing and calibrating a microscopic freeway traffic model using the Vissim microsimulator, which was applied successfully to the full I-210 test site, (ii) a simulation study, using the calibrated Vissim I-210 model, comparing the fixed-rate, Percent Occupancy, and Alinea local ramp metering schemes, which showed that Alinea can improve freeway conditions when mainline occupancies are measured upstream of the on-ramp (as on I-210 and most California freeways), as well as when occupancy sensors are downstream of the on-ramp, (iii) development of computationally efficient macroscopic freeway traffic models, the Modified Cell Transmission Model (MCTM) and Switching-Mode Model (SMM), validation of these models on a 2-mile segment of I-210, and determination of observability and controllability properties of the SMM modes, (iv) design of a semi-automated method for calibrating the parameters of the MCTM and SMM, which, when applied to an MCTM representation of the full I-210 segment, was able to reproduce the approximate behavior of traffic congestion, yielding about 2% average error in the predicted Total Travel Time (TTT), and (v) development of a new technique for generating optimal coordinated ramp metering plans, which minimizes a TTT-like objective function. Simulation results for a macroscopic model of the 14-mile I-210 segment have shown that the optimal plan predicts an 8.4% savings in TTT, with queue constraints, over the 5-hour peak period.
Evaluation of Adaptive Ramp Metering on I-80 in the San Francisco Bay Area
Author: Anurag PandeUsing Archived ITS Data to Measure the Operational Benefits of a System-wide Adaptive Ramp Metering System
Author: Publisher:
ISBN:
Category : Intelligent transportation systems
Languages : en
Pages : 134
Book Description
Feedback Ramp Metering in Intelligent Transportation Systems
Author: Pushkin KachrooPublisher:
ISBN: 9781441989628
Category :
Languages : en
Pages : 356
Book Description
An Advanced Real-time Ramp Metering System (ARMS): the System Concept
Author: Jyh-Charn S. LiuPublisher:
ISBN:
Category : Electronic traffic controls
Languages : en
Pages : 100
Book Description