Regional transportation simulations

I would also like to acknowledge ITS Institute's forward thinking and openness to explore new untried approaches. I would also like to extend a great thank you and express my appreciation to Mark Filipi from the Metropolitan Council. His assistance in working with the Twin Cities Regional Planning Model and his patience and valuable guidance during the course of this project phase was instrumental to its successful completion. As will become evident later in this report, the undertaking is huge and required the contribution of many brilliant students of the Civil Engineering Department, undergraduates and graduates. I would like to acknowledge the contributions of Michael Collins, Feili Hong, Melissa Shauer, Evan Veil, and Stephen Zitzow.

2011

Caltrans District 7 generates Transportation Concept Reports (TCR) which are planning reports for each of the highways in the district. Caltrans used a system of modeling and reporting practices built around its travel demand and network model. With changing resource availability and the need to better collaborate with other regional agencies, Caltrans decided to use the models available at the Southern California Association of Governments (SCAG). SCAG’s models were very different and there was an urgent need at Caltrans to rethink modeling and reporting. There also was an immediate to update the TCRs. METRANS audited Caltrans' modeling practices, provided an analysis of possible improvement avenues, and developed an automated tool to help them meet the urgent requirement of updating the TCRs.

2007

Subsequent additions and revisions of the notes were made in teaching courses at Northwestern University in 2005 and 2006. I gratefully acknowledge my ongoing collaboration with Hillel Bar-Gera, Ben-Gurion University of the Negev, Israel, for his many contributions to my understanding of combined models of travel and route choice. I thank the following students for their assistance in preparing the current version of these Notes:

Journal of Simulation, 2020

and Regional Planning Fall 2011 ─────────────────────────────────────────────────────── UP 478 -Urban Transportation Planning R. Hinojosa, E. Kassens-Noor Mondays and Wednesdays 8:30am-9:50am, Room 106 HE

IEEE Intelligent Transportation Systems Magazine

1996

Computer simulation modeling is an established tool for assessing traffic operations. Over the past three decades, a variety of traffic simulation models have been developed, and many experiments and applications of these traffic simulation models to imaginary and real traffic operations have been conducted. This paper is intended to review widely used and newly developed models, in terms of modeling mechanisms, characteristics, and applications. Traffic simulation theories and approaches are briefly described. Simulation models developed for different traffic systems are then reviewed, including those for urban networks, freeways and integrated urban street/freeway systems. Important issues on model application are discussed.

This report is the product of a second-year research project in the University Transportation Centers Program. The Program was created by Congress in 1987 to "contribute to the solution of im}X>rtant regional and national transportation problems." A university-based center was established in each of ten federal regions following a national competition in 1988. Each center has a unique theme and research purpose, although all are interdisciplinary and also have educational missions. The Midwest Transportation Center is one of the ten centers; it is a consortium that includes Iowa State University (lead institution) and The University of Iowa. The Center serves federal Region 7 which includes Iowa, Kansas, Missouri, and Nebraska. Its theme is "transportation actions and strategies in a region undergoing major social and economic transition." Research projects conducted through the Center bring together the collective talents of faculty, staff, and students within the region to address issues related to this important theme.

1988

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Journal of Transportation Engineering, 2015

For determining highly disaggregate details about traffic dynamics, microscopic traffic simulation 34 has long proven to be a valuable tool for the evaluation of development plans and operation/control 35 strategies. With recent advances in computing capabilities, research interest in large-scale 36 microscopic simulation has never been greater. This case study develops a 24-h large-scale 37 microscopic traffic simulation model for the Washington, DC, metropolitan area. The model 38 consists of over 7,000 links, 3,500 nodes, 400 signalized intersections, and over 40,000 origin-39 destination pairs. Various field measurements, such as time-dependent traffic counts and corridor 40 travel times, have been used for model calibration/validation. The EPA's Motor Vehicle Emission 41 Simulator is linked with the microscopic simulation model for the estimation of environmental 42 impacts. The calibrated model system has been used to comprehensively evaluate a newly built 43 toll road in Maryland, the Intercounty Connector. Various network-level and corridor-level 44 performance measures are quantified. The case study demonstrates the feasibility and capability 45 of large-scale microscopic simulation in transportation applications. It establishes an example for 46 modelers and practitioners who are interested in constructing a large-scale model system. The 47 developed 24-h simulation model system of traffic and emissions has the potential to serve as a 48 test bed for integration with other analysis tools, such as behavioral and optimization models.

Transportation Research Record: Journal of the Transportation Research Board, 2005

In North America, the process for determining appropriate railroad infrastructure for new service or an increased volume of existing service usually includes the use of simulation software. Decisions are generally based on statistical analysis of the simulation output. The simulation and analysis that are commonly conducted, however, may not provide an accurate assessment of the adequacy of the infrastructure. Furthermore, the output data comparisons commonly used to describe the effect of infrastructure on traffic may not be easily associated with traffic conditions. These shortcomings can be mitigated with appropriate care in developing the simulation input data and changing the output analysis methodology.

International Series in Operations Research &amp; Management Science, 2010

, except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

SUMO Conference Proceedings

Development of large-scale traffic simulation models have always been challenging for transportation researchers. One of the essential steps in developing traffic simulation models, which needs lots of resources, is travel demand modeling. Therefore, proposing travel demand models that require less data than classical travel demand models is highly important, especially in large-scale networks. This paper first presents a travel demand model named as probabilistic travel demand model, then it reports the process of development, calibration and validation of Belgium traffic simulation model. The probabilistic travel demand model takes cities&#39; population, distances between the cities, yearly vehicle-kilometer traveled, and yearly truck trips as inputs. The extracted origin-destination matrices are imported into the SUMO traffic simulator. Mesoscopic traffic simulation and the dynamic user equilibrium traffic assignment are used to build the base case model. This base case model is...

2014

The MULTITUDE Project (Methods and tools for supporting the Use, caLibration and validaTIon of Traffic simUlations moDEls) is an Action (TU0903) supported by the EU COST office (European Cooperation in Science and Technology) and focuses on the issue of uncertainty in traffic simulation, and of calibration and validation as tools to manage it. It is driven by the concern that, although modelling is now widespread, we are unsure how much we can trust our results and conclusions. Such issues force into question the trustworthiness of the results, and indeed how well we are using them.