A Comparison of the Traffic Simulation Models "Saturn" and "QRS" for Small Scale Traffic Impact Studies PDF Download
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Author: Jeff K. Perkins
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages :
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Book Description
Author: Jeff K. Perkins
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Winnie Daamen
Publisher: CRC Press
ISBN: 148222870X
Category : Mathematics
Languages : en
Pages : 264
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Book Description
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project—a European Cost Action project that incorporates work packages defining traffic simulation practice and research; highway and network modeling; and synthesis, dissemination, and training. This book addresses the calibration and validation of traffic models, and introduces necessary frameworks and techniques. It also includes viable methods for sensitivity analyses, and incorporates relevant tools for application. The book begins with a brief summary of various data collection techniques that can be applied to collect different data types. It then showcases various data processing and enhancement techniques for improving the quality of collected data. It also introduces the techniques according to the type of estimation, for example microscopic data enhancement, traffic state estimation, feature extraction and parameter identification techniques, and origin–destination matrix estimation. The material discusses the measures of performance, data error and goodness of fit, and optimization algorithms. It also contains the sensitivity analyses of parameters in traffic models. Describes the various tasks of calibration and validation Considers the best use of available data Presents the sensitivity analysis method Discusses typical issues of data error in transportation system data and how these errors can impact simulation results Details various methodologies for data collection, sensitivity analysis, calibration, and validation Examines benefits that result from the application of these methods Traffic Simulation and Data: Validation Methods and Applications serves as a key resource for transport engineers and planners, researchers, and graduate students in transport engineering and planning.
Author: S. Tawab S. Kazemi
Publisher:
ISBN:
Category :
Languages : en
Pages : 144
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Book Description
Author: David A. Hensher
Publisher: Pergamon
ISBN: 9780080427799
Category : Business & Economics
Languages : en
Pages : 566
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Book Description
The second of a four-volume set of conference proceedings. This one covers modelling transport systems, with 35 papers organized hierarchically on traffic models, urban models, regional models, and national models.
Author:
Publisher:
ISBN:
Category : Route choice
Languages : en
Pages : 68
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Author: Ayman Smadi
Publisher:
ISBN:
Category : Highway capacity
Languages : en
Pages : 56
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Book Description
The impetus of this research is to meet the growing need for accurate and practical methods to support traffic analysis in work zones. This research examines the application of two classes of traffic analysis models, macroscopic sketch analysis and microscopic traffic simulation, to work zones. The research will evaluate the application of these tools to an urban interstate work zone. Specifically, this research will examine the following: 1) how the use of traffic analysis models relates to federal requirements about considering traffic impacts of major construction projects, 2) the accuracy of model results in comparison to real-world conditions, and 3) modeling effort and data requirements of these models. The primary objectives of this research are as follows: 1) determining the feasibility of applying a traffic analysis model to a work zone environment, 2) calibrating and validating the simulation models based on data collected in the work zone, 3) using the calibrated model to apply various work zone management strategies, and 4) documenting the research findings and lessons learned from the model applications.
Author: Shady Mounir Shazbak
Publisher:
ISBN:
Category :
Languages : en
Pages : 256
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Book Description
This thesis presents a comparison of static and dynamic traffic assignment models describing the different considerations in both approaches and the impact of different assumptions that are adopted on simulation results. The comparison uses the Greater Beirut Area road network as a platform for analysis. Different traffic management schemes were simulated in both static (EMME/2) and dynamic (DYNASMART) models and their air qualtiy implications were estimated. Implications of the traffic modeling assumptions on the total emissions are also presented in this thesis.
Author: Hui Deng
Publisher:
ISBN: 9781339542522
Category :
Languages : en
Pages :
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Book Description
Individual driving behavior, such as anticipation, risk-taking and cooperative lane change, has significant impact on overall traffic flow characteristics and highway performance. It contributes to various traffic flow phenomena, including platooning, capacity drop and traffic oscillations. A good understanding of driving behavior under different driving environments, such as curved roads, lane-drops, merges and diverges, and platooning enabled by vehicle to vehicle communication, can help us design safer roads, and safer and more efficient autonomous or semi-autonomous driving vehicles. New car following models have been developed to capture the empirical observed anticipation and risk-taking driving behavior, and applied to investigate how anticipation and risk-taking may lead to different traffic flow phenomena and influence highway capacity and safety. Considering gap anticipation, full range traffic conditions can be reproduced, including free-flow, congestion and traffic jam under fixed and moving bottleneck, realistic flow capacities and fundamental diagrams with different levels of anticipation, as well as platoon driving when gap anticipation dependents on the gap. The effect of risk-taking on traffic safety is studied with a collision-possible car following model considering driver anticipation. Risk-taking leads to traffic oscillations and potential collision hazards when traffic is not stable. Longer length of view field can improve traffic safety, and large numbers of vehicle crashes happen when view field length is shorter than given threshold. Merge traffic dynamic has been studied by simulating of cooperative lane change, and drivers' merge location choice is studied to show its impact on traffic oscillations near merging junction. A simplified lane change cooperation strategy is developed and integrated with optimal speed car following logic to capture cooperative lane change behavior in merge junctions. This model can reproduce reasonable merge ratio, capacity drop, turn taking merging behavior and stop and go traffic at merge bottleneck. Lane change incentive and main lane traffic condition affect drivers' lane change behavior and leads to different merge location choice. Microscopic and macroscopic traffic simulation show merge location choice contributes to the formation of stop-and-go waves near merging junctions and the period of these waves are closely related to the distance between the two dominant merging locations. Theoretical and data analysis are used to reveal the correlation between drivers' anticipation, relaxation behavior and traffic hysteresis. Through an analysis of the trajectory data from NGSIM and a theoretical analysis of car-following models, it is revealed that traffic hysteresis is generated by an imbalance in driver relaxation and anticipation. By changing the strength of relaxation and anticipation, we are able to reproduce positive, negative and double hysteresis loops, as well as aggressive and timid driving behavior. It is further shown that the relative positions of acceleration and deceleration phase with respect to the equilibrium state is not unique and are determined by the comparative strength of relaxation and anticipation in different traffic conditions. This study suggests that traffic hysteresis can be suppressed by balancing driver relaxation and anticipation, and stop-and-go traffic can be smoothed by eliminating aggressive driving in congested traffic. A three-mode vehicle control law is proposed for ACC (Adaptive Cruise Control) and CACC (Cooperative Adaptive Cruise Control) and implemented in VENTOS (VEhicular NeTwork Open source Simulator). Traffic hysteresis and stability of studied both analytically and using VENTOS simulation. The ability of ACC/CACC to improve highway safety and eliminating traffic hysteresis is verified by traffic simulation under critical traffic conditions, including realistic stop-and-go traffic and worst case stopping. Through analytical approaches and simulation, we have demonstrated the stability and robustness of our proposed ACC/CACC control system against sensor measurement errors and lossy wireless communication links which is required to implement the CACC control logic. The benefit of wireless communication, even with some lossy links, is significant in ensuring stream stability and performance.
Author: M. D. Hall
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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