Real Time Estimation Of Queue Length At Signalized Intersections
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Real Time Estimation Of Queue Length At Signalized Intersections
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Author : Md. Sekender Ali Khan
language : en
Publisher:
Release Date : 2010
Real Time Estimation Of Queue Length At Signalized Intersections written by Md. Sekender Ali Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Delay And Queue Length Estimation At Signalized Intersections Using Archived Automatic Vehicle Location And Passenger Count Data From Transit Vehicles
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Author : Sahar Tolami Hemmati
language : en
Publisher:
Release Date : 2015
Delay And Queue Length Estimation At Signalized Intersections Using Archived Automatic Vehicle Location And Passenger Count Data From Transit Vehicles written by Sahar Tolami Hemmati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Signalized intersections are typically the capacity bottlenecks within urban road networks. The performance of signalized intersections is typically quantified on the basis of average vehicle delay and maximum queue lengths. In practice, these measures of performance are commonly estimated using tools that implement the methods from the Highway Capacity Manual. These methods, which have been derived from deterministic and stochastic queuing theory, estimate delay and queue length on the basis of geometry, signal timings, turning movement counts (TMC), vehicle stream composition, etc. The cost and effort required to acquire these data, and particularly the TMCs, result in TMCs being collected for a single day every several years. Thus, estimates of intersection performance are often several years out of date and do not capture day-to-day and seasonal variations in conditions that occur throughout the year. Many transit agencies have deployed Automatic Vehicle Location (AVL) and Automatic Passenger Count (APC) systems on their fleet of transit vehicle. This thesis proposes a methodology to estimate the stopped delay and maximum queue length at signalized intersections on the basis of archived AVL/APC data. This provides the advantage of being able to: (1) estimate intersection performance on the basis of field measurements rather than models; (2) no additional cost or effort is required to acquire the data; and (3) performance can be evaluated throughout the year. Unlike previous methods, the proposed methodology is applicable to intersections with near-side transit stations. The proposed model is evaluated using both simulation and field data and shown to provide satisfactory results.
Estimation Of Delay And Queue Length At Non Signalized Intersections
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Author : Mario R. Duran
language : en
Publisher:
Release Date : 1986
Estimation Of Delay And Queue Length At Non Signalized Intersections written by Mario R. Duran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with NETSIM (Computer program) categories.
Real Time Estimation Of Delay At Signalized Intersections
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Author : Jeffrey W. Buckholz
language : en
Publisher:
Release Date : 2007
Real Time Estimation Of Delay At Signalized Intersections written by Jeffrey W. Buckholz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Trajectory analysis during oversaturated conditions is used to reconcile the difference between stopped delay and the area between the curves. This research also demonstrates that the Highway Capacity Manual (HCM) definition of an initial (residual) queue is incorrect. To identify the true residual queue, the situation must be evaluated at the end of the red interval and thruput during the subsequent green interval must be deducted. Failure to do so leads to overestimation of both the initial queue and the corresponding delay. Another finding is that the random component of the HCM's incremental delay term incorrectly contributes to delay during over-saturated periods preceded by an initial queue. A remedial modification to the d2 term is proposed. Finally, it is demonstrated that the HCM's period-based queue accumulation procedure has drawbacks that can produce substantial errors in delay during over-saturated conditions. A remedial cycle-based counting technique is proposed.
Data Driven Methods For Improved Estimation And Control Of An Urban Arterial Traffic Network
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Author : Leah Adrian Anderson
language : en
Publisher:
Release Date : 2015
Data Driven Methods For Improved Estimation And Control Of An Urban Arterial Traffic Network written by Leah Adrian Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Transportation is a field which is universal in our society: people from every country, culture or background are familiar with the challenges of getting around in our built environment. Yet what is not always so obvious to the average traveler is how the techniques and tools of designing, observing, and controlling our modern transportation networks are derived. In fact, the theory of traffic engineering has many gaps and unknowns that are the topic of ongoing research efforts in the academic community. This work presents a collection of theoretical and practical methodologies to advance the study of traffic flow modeling, state estimation, and control of signalized roadways in particular. It uses theory from traditional transportation engineering, but also demonstrates the application of new tools from control theory and computer science to the specific application of signalized traffic networks. First, two numerical modeling dynamics representing traffic flows on signalized arterials are presented: the well-known Cell Transmission Model, a discretization of the physical hydrodynamic laws believed to govern vehicle flows, and a new Vertical Cell Model which resembles classical "store-and-forward" models with the addition of transit delays and finite buffer capacities. Each of these models is implemented in a common software framework, which provides an ideal experimental platform for direct comparison of the competing dynamics. A chapter in this dissertation contributes a validation and comparison of the two models against real vehicle trajectory data on an existing signalized road network. Accuracy and confidence in such traffic models requires complimentary methods of observing true traffic conditions to provide initial conditions and real-time state estimates. Yet there are many technological deficiencies in existing urban roadway detection systems that prevent the acquisition of a real-time estimate of arterial link state (or queue length) at signalized intersections. Hence this thesis also contains methodology to improve the estimates obtained from existing hardware by combining data from typical infrastructure sensors with new sources of Lagrangian probe measurements. These are then assimilated into a detailed model of flow dynamics. This technique was previously proposed for continuous-flow (freeway) networks, but required novel adaptions to be applied to an interrupted-flow setting. This dissertation next explores advancements in theoretically optimal control algorithms for statistically-modeled signalized queueing networks. In the context of a large body of previous work on flow-impeding control for vertical queueing networks, the practical challenges of traffic signal control are highlighted. Some of these challenges are tackled in the specific case of the max pressure controller, an algorithm derived from the field of communications networks that has been shown to optimize through-flow in an idealized network model. The lack of adequate measurements or demand-volume data has historically been a major limitation in advancing research on signalized arterial road networks. Yet the current revolution of inexpensive storage and processing of "big data" shows promise for improving daily operations of existing roadways without the need for expensive new hardware systems. One example of this potential appears is the case of traffic signal control. Existing traffic signals are capable of operating more efficiently by changing signal plans based on real-time demand measurements through a traffic responsive plan selection (TRPS) mode of operation (rather than depending on a rigid schedule for plan changes). However, this mode is rarely used in practice because its calibration process is not accessible or intuitive to traffic technicians. This dissertation presents an application of statistical learning techniques to improve the process of calibrating and implementing an existing TRPS mechanism. A proof-of-concept implementation using historical sensor data from a busy urban intersection demonstrates that real operational improvements may be immediately achievable using existing sensing infrastructure.
Computer Vision And Graphics
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Author : Leszek J. Chmielewski
language : en
Publisher: Springer Nature
Release Date : 2023-02-10
Computer Vision And Graphics written by Leszek J. Chmielewski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Technology & Engineering categories.
This book contains 17 papers presented at the conference devoted to cutting-edge technologies and concepts related to image processing. A broad collection of problems including man–machine interfaces, comparison of quantum and conventional computing in deep learning, medical image processing, image segmentation, face recognition, outdoor scene analysis, image rendering and colorization, map generation, traffic analysis, hardware acceleration, data association, and visual cryptography is investigated. Research on these issues is important, among others due to that large amounts of video data are collected continually. They can be easily stored, but their analysis is still a challenge. The book is primarily intended for researchers and practitioners in image analysis and generation, as well as for students in the fields related to computer science. However, any reader interested in the subject matter of the book will find some chapters interesting and valuable.
Transportation Research
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Author : Tom V. Mathew
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Transportation Research written by Tom V. Mathew and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
This book presents selected papers from the 4th Conference of the Transportation Research Group of India. It provides a comprehensive analysis of themes spanning the field of transportation encompassing economics, financial management, social equity, green technologies, operations research, big data analysis, econometrics and structural mechanics. This volume will be of interest to researchers, educators, practitioners, managers, and policy-makers world-wide.
Traffic Theory
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Author : Denos C. Gazis
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-11
Traffic Theory written by Denos C. Gazis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Business & Economics categories.
“Everything should be made as simple as possible—but not simpler” Albert Einstein Traffic Theory, like all other sciences, aims at understanding and improving a physical phenomenon. The phenomenon addressed by Traffic Theory is, of course, automobile traffic, and the problems associated with it such as traffic congestion. But what causes congestion? Some time in the 1970s, Doxiades coined the term "oikomenopolis" (and "oikistics") to describe the world as man's living space. In Doxiades' terms, persons are associated with a living space around them, which describes the range that they can cover through personal presence. In the days of old, when the movement of people was limited to walking, an individual oikomenopolis did not intersect many others. The automobile changed all that. The term "range of good" was also coined to describe the maximal distance a person can and is willing to go in order to do something useful or buy something. Traffic congestion is caused by the intersection of a multitude of such "ranges of good" of many people exercising their range utilisation at the same time. Urban structures containing desirable structures contribute to this intersection of "ranges of good". xii Preface In a biblical mood, I opened a 1970 paper entitled "Traffic Control -- From Hand Signals to Computers" with the sentence: "In the beginning there was the Ford".
Real Time Prediction Of Adaptive Traffic Signal Timings And Queue Lengths
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Author : B. W. Doughty
language : en
Publisher:
Release Date : 1986
Real Time Prediction Of Adaptive Traffic Signal Timings And Queue Lengths written by B. W. Doughty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Traffic engineering categories.
The calculation of dynamic advisory speeds, to assist drivers in finding a path through successive green signals, requires advance knowledge of signal timings, vehicle to signal distances and queue lengths. under a traffic adaptive signal system (e.g. the Sydney Coordinated Adaptive Traffic System, SCATS) the prediction of signal timings and queue lengths is complicated by the variability of cycle, phase split and offset times as well as by the different phasing arrangements provided for each intersection. A general method of signal timing prediction is described, based on exponential smoothing of recent historical data from SCATS, and software for application each second to 11 intersection approaches on Malvern/Waverley Roads in Melbourne is outlined. Methods of queue prediction are also examined. Correlation of queue length with SCATS predictor variables has been tested using data collected at three intersections. results from an on-road advisory speed experiment, and from separate analyses, show that signal status can be predicted adequately. Prospective increases in forecasting accuracy are discussed.
Smart Sensors And Devices In Artificial Intelligence
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Author : Dan Zhang
language : en
Publisher: MDPI
Release Date : 2021-04-07
Smart Sensors And Devices In Artificial Intelligence written by Dan Zhang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Technology & Engineering categories.
Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices