Delay and Queue Length Estimation at Signalized Intersections Using Archived Automatic Vehicle Location and Passenger Count Data from Transit Vehicles

Delay and Queue Length Estimation at Signalized Intersections Using Archived Automatic Vehicle Location and Passenger Count Data from Transit Vehicles

Author: Sahar Tolami Hemmati

Publisher:

Published: 2015

Total Pages: 186

ISBN-13:

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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 Thus, estimates of intersection performance are often several years out of date and do not capture day-to-day and seasonal variations in conditions that occur throughout the year.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.


Traffic Theory

Traffic Theory

Author: Denos C. Gazis

Publisher: Springer Science & Business Media

Published: 2006-04-11

Total Pages: 270

ISBN-13: 0306482177

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“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 Estimation of Delay at Signalized Intersections

Real-time Estimation of Delay at Signalized Intersections

Author: Jeffrey W. Buckholz

Publisher:

Published: 2007

Total Pages:

ISBN-13:

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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.


Roundabouts

Roundabouts

Author: Lee August Rodegerdts

Publisher: Transportation Research Board

Published: 2010

Total Pages: 407

ISBN-13: 0309155118

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TRB's National Cooperative Highway Research Program (NCHRP) Report 672: Roundabouts: An Informational Guide - Second Edition explores the planning, design, construction, maintenance, and operation of roundabouts. The report also addresses issues that may be useful in helping to explain the trade-offs associated with roundabouts. This report updates the U.S. Federal Highway Administration's Roundabouts: An Informational Guide, based on experience gained in the United States since that guide was published in 2000.


Operation, Analysis, and Design of Signalized Intersections

Operation, Analysis, and Design of Signalized Intersections

Author: Michael Kyte

Publisher: Createspace Independent Publishing Platform

Published: 2014-07-04

Total Pages: 0

ISBN-13: 9781500204365

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Before they begin their university studies, most students have experience with traffic signals, as drivers, pedestrians and bicycle riders. One of the tasks of the introductory course in transportation engineering is to portray the traffic signal control system in a way that connects with these experiences. The challenge is to reveal the system in a simple enough way to allow the student "in the door," but to include enough complexity so that this process of learning about signalized intersections is both challenging and rewarding. We have approached the process of developing this module with the following guidelines: * Focusing on the automobile user and pretimed signal operation allows the student to learn about fundamental principles of a signalized intersection, while laying the foundation for future courses that address other users (pedestrians, bicycle riders, public transit operators) and more advanced traffic control schemes such as actuated control, coordinated signal systems, and adaptive control. * Queuing models are presented as a way of learning about the fundamentals of traffic flow at a signalized intersection. A graphical approach is taken so that students can see how flow profile diagrams, cumulative vehicle diagrams, and queue accumulation polygons are powerful representations of the operation and performance of a signalized intersection. * Only those equations that students can apply with some degree of understanding are presented. For example, the uniform delay equation is developed and used as a means of representing intersection performance. However, the second and third terms of the Highway Capacity Manual delay equation are not included, as students will have no basis for understanding the foundation of these terms. * Learning objectives are clearly stated at the beginning of each section so that the student knows what is to come. At the end of each section, the learning objectives are reiterated along with a set of concepts that students should understand once they complete the work in the section. * Over 70 figures are included in the module. We believe that graphically illustrating basic concepts is an important way for students to learn, particularly for queuing model concepts and the development of the change and clearance timing intervals. * Over 50 computational problems and two field exercises are provided to give students the chance to test their understanding of the material. The sequence in which concepts are presented in this module, and the way in which more complex ideas build on the more fundamental ones, was based on our study of student learning in the introductory course. The development of each concept leads to an element in the culminating activity: the design and evaluation of a signal timing plan in section 9. For example, to complete step 1 of the design process, the student must learn about the sequencing and control of movements, presented in section 3 of this module. But to determine split times, step 6 of the design process, four concepts must be learned including flow (section 2), sequencing and control of movements (section 3), sufficiency of capacity (section 6), and cycle length and splits (section 8). Depending on the pace desired by the instructor, this material can be covered in 9 to 12 class periods.


Delay Models at Signalized Intersections Considering Short Right-turn Lanes and Right Turn on Red

Delay Models at Signalized Intersections Considering Short Right-turn Lanes and Right Turn on Red

Author: Hongyan Gao

Publisher:

Published: 2011

Total Pages: 212

ISBN-13:

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The most widely used procedures for estimating delay at signalized intersections are provided by the Highway Capacity Manual (HCM). Despite many revisions, the current HCM delay models lack consideration of short turn lanes and vehicles making a right turn on red (RTOR), both of which are commonly seen in real-life situations. Neglecting the delay caused by short-lane blockages and excluding RTOR traffic, the existing models can underestimate the delay for the signalized intersections. To eliminate these shortcomings of the current HCM, comprehensive delay models were developed by considering the chance of short-lane blockage and right turns proceeding during red. The proposed analytical models were constructed via two different approaches: probabilistic theories and queue accumulation polygons (QAP). They were capable of handling delay estimation given different inputs. The effectiveness and validity of the proposed models were verified by the microscopic simulation model, SimTraffic, which was calibrated based on intersection field data. The proposed models, developed with two different ideologies, showed their distinct advantages. By following the traditional HCM procedures, the probabilistic model only requires basic information as inputs, including traffic volume, saturation flow rate, signal timing plan, and short-lane length. It enhanced the HCM models by being able to handle delay estimation for short right-turn lane and RTOR. By incorporating the RTOR queuing and discharging information, the QAP model overcomes the shortcoming of HCM models where RTOR are directly removed before the capacity or delay analysis. It is better at modeling vehicular arrival and departure for both through and right-turn traffic under various signal control strategies and blockage scenarios. Using the probabilistic model, it was found that the length of the short right-turn lane strongly influences the intersection delay. Delay decreases as the length of the right-turn lane increases. RTOR can reduce the over-saturation, thereby reducing the approach delay substantially, especially when the length of the lane is insufficient to accommodate queuing vehicles. Based on the field data studied in this research, both QAP model and probabilistic model yield better estimates for the approach delay than the HCM model. The results also confirmed that the HCM tends to underestimate the approach delay by ignoring the short-lane blockage and delay contributed by RTOR traffic.