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<span id="openzim-page-title" class="mw-page-title-main"><span class="mw-page-title-main">TransModeler</span></span>
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</style><table class="infobox vevent"><tbody><tr><th colspan="2" class="infobox-above summary">TransModeler</th></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Programmer" title="Programmer">Developer(s)</a></th><td class="infobox-data"><a href="Caliper_Corporation" title="Caliper Corporation">Caliper Corporation</a></td></tr><tr style="display: none;"><td colspan="2" class="infobox-full-data"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_release_life_cycle" title="Software release life cycle">Stable release</a></th><td class="infobox-data"><div style="margin:0px;">6.1
/ January 2022</div></td></tr><tr style="display:none"><td colspan="2">
</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Operating_system" title="Operating system">Operating system</a></th><td class="infobox-data"><a href="Windows_XP" title="Windows XP">Windows XP</a>, <a href="Windows_Vista" title="Windows Vista">Windows Vista</a>, <a href="Windows_7" title="Windows 7">Windows 7</a>, <a href="Windows_10" title="Windows 10">Windows 10</a></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_categories#Categorization_approaches" title="Software categories">Type</a></th><td class="infobox-data"><a href="Traffic_Simulation" class="mw-redirect" title="Traffic Simulation">Traffic Simulation</a>, <a href="Geographic_information_system" title="Geographic information system">GIS</a>,
<a href="Transportation" class="mw-redirect" title="Transportation">Transportation</a>, Mapping Software</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Website</th><td class="infobox-data"><a rel="nofollow" class="external text" href="http://www.caliper.com/TransModeler/default.htm">Caliper TransModeler Home</a></td></tr></tbody></table>
<p><b>TransModeler</b> is a based <a href="Traffic_simulation" title="Traffic simulation">traffic simulation</a> platform for doing wide-area <a href="Transportation_planning" title="Transportation planning">traffic planning</a>, <a href="Traffic_management" title="Traffic management">traffic management</a>, and <a href="Emergency_evacuation" title="Emergency evacuation">emergency evacuation</a> studies that is developed by <a href="Caliper_Corporation" title="Caliper Corporation">Caliper Corporation</a>. It can animate the behavior of multi-modal <a href="Traffic_estimation_and_prediction_system" title="Traffic estimation and prediction system">traffic systems</a> to show the flow of <a href="Vehicle" title="Vehicle">vehicles</a>, the operation of <a href="Traffic_light" title="Traffic light">traffic signals</a>, and the overall performance of the transportation <a href="Transport_network" class="mw-redirect" title="Transport network">network</a>.<sup id="cite_ref-1" class="reference"><a href="#cite_note-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-2" class="reference"><a href="#cite_note-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup>
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<div class="mw-heading mw-heading2"><h2 id="About_TransModeler">About TransModeler</h2></div>
<p>TransModeler is a <a href="Traffic_simulation" title="Traffic simulation">traffic simulation</a> package applicable to a wide array of traffic planning and modeling tasks. TransModeler can simulate many kinds of road networks, including freeways and downtown areas, and can analyze wide-area multimodal networks. It can be used to model and visualize the behavior of traffic systems in a 2-dimensional or 3-dimensional GIS environment to illustrate and evaluate traffic flow dynamics, traffic signal and ITS operations, connected and automated vehicles (CAVs), and overall network performance.
</p><p>Like other <a href="Caliper_Corporation" title="Caliper Corporation">Caliper Corporation</a> products, TransModeler is a native <a href="Geographical_information_system" class="mw-redirect" title="Geographical information system">GIS</a> environment. TransModeler integrates with <a href="TransCAD" class="mw-redirect" title="TransCAD">TransCAD</a>, the travel demand forecasting software. TransModeler includes a proprietary <a href="BASIC" title="BASIC">BASIC</a>-like programming language (Caliper Script) within a development interface (GISDK) that allows automation of the TransModeler environment. TransModeler includes a relational database and a matrix engine for native matrix operations.
</p><p>TransModeler simulates public transportation as well as bicycle, car, and truck traffic. Transit route system travel demand can be specified as either schedule or headway based. Pedestrian crossing demand can also be simulated.
</p><p>TransModeler is inherently a trip-based microscopic simulation package. Demand can also be simulated using turning movement volumes. The trip-based routing handles a wide variety of <a href="Intelligent_transportation_system" title="Intelligent transportation system">intelligent transportation system</a> (ITS) features such as <a href="Managed_lanes" class="mw-redirect" title="Managed lanes">managed lanes</a> (such as HOV and HOT lanes), <a href="Electronic_toll_collection" title="Electronic toll collection">electronic toll collection</a>, route guidance, and traffic detection and <a href="Surveillance" title="Surveillance">surveillance</a>. Simulation-based dynamic traffic assignment (DTA) can be used to inform vehicle's route choices. Calibration methods like Origin-Destination Matrix Estimation (ODME) are also available.
</p><p>TransModeler's road editor natively supports two-way links and roads, which enables automatic handling for two-way left-turn lanes (TWLTL) and automatic handling of overtaking/passing on two-lane highways. Vehicle conflict points and yield points are automatically calculated inside of intersections. Road networks can be imported from <a href="Synchro" title="Synchro">Synchro</a>, <a href="CORSIM" title="CORSIM">CORSIM</a>, and <a href="TransCAD" class="mw-redirect" title="TransCAD">TransCAD</a> line layers. TransModeler is integrated with the <a rel="nofollow" class="external text" href="https://mctrans.ce.ufl.edu/mct/index.php/hcs/">Highway Capacity Software (HCS)</a> in that it can be used to simulate Urban Streets, Freeway Facilities and Stop-Controlled Intersection (TWSC/ASWC) files created in <a rel="nofollow" class="external text" href="https://mctrans.ce.ufl.edu/mct/index.php/hcs/">HCS</a>.
</p><p>TransModeler includes various tools for managing a simulation project and the associated scenarios. Project databases, traffic signal timing plans, and other input data can be shared between multiple projects and scenarios.
</p>
<div class="mw-heading mw-heading2"><h2 id="TransModeler_Projects">TransModeler Projects</h2></div>
<p>TransModeler is used for projects throughout the world.
</p>
<div class="mw-heading mw-heading3"><h3 id="Wide_Area,_High_Fidelity_Traffic_Simulation_for_MAG">Wide Area, High Fidelity Traffic Simulation for MAG</h3></div>
<p>For the <a href="Maricopa_Association_of_Governments" title="Maricopa Association of Governments">Maricopa Association of Governments</a>, <a href="Caliper_Corporation" title="Caliper Corporation">Caliper</a> developed the largest high-fidelity <a href="Microsimulation" title="Microsimulation">microsimulation</a> model ever attempted. Using TransModeler, vehicle traffic was simulated within a 500 square mile area of <a href="Phoenix%2C_Arizona" title="Phoenix, Arizona">Phoenix</a> using a microscopic model with a .1 second time step. The network includes more than 1800 <a href="Traffic_signals" class="mw-redirect" title="Traffic signals">traffic signals</a> which were simulated at the same time. The network is represented at the lane level with accurate intersection placement and geography. An equilibrium dynamic traffic assignment (DTA) was performed using the microscopic loading.
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<div class="mw-heading mw-heading3"><h3 id="Lake_County_Area_Microsimulation_Model">Lake County Area Microsimulation Model</h3></div>
<p>TransModeler was used to calibrate a model spanning most of Lake County, CA. The focus of the model was the management of traffic demand between routes north and south of Clear Lake. The corridor is more than 50 miles in length, is made up of State Routes 20, 29, and 53, and includes most local roads in the towns through which the routes pass. After calibrating and validating the model, alternative strategies for traffic calming and access management in the towns were considered with a view toward attracting traffic to the route south of the Lake, which impacts local communities to a much lesser degree.
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<div class="mw-heading mw-heading3"><h3 id="Whatcom_County_Area-wide_Micro-simulation_Model">Whatcom County Area-wide Micro-simulation Model</h3></div>
<p>Caliper developed a microscopic traffic simulation model of Whatcom County, WA. The existing micro-simulation database in TransModeler was expanded to the scope of the regional travel demand model, with a detailed representation of highway geography and traffic signal control in the region. Time-varying origin-destination (OD) demand was estimated to match available field data, and a Dynamic Traffic Assignment (DTA) based on TransModeler’s microscopic traffic simulation was used to estimate a consistent set of congested travel times. The high prevalence of truck traffic and the crossings along the Canada–US border caused further challenges to accurately modeling dynamic trip patterns, route selection behavior and vehicle interactions. The completed large-scale model was used to assist planning and traffic operations staff with conducting scenario analyses and evaluating traffic management strategies for informed decision-making.
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<div class="mw-heading mw-heading3"><h3 id="Capital_Beltway_High-occupancy_Toll_(HOT)_Lanes">Capital Beltway High-occupancy Toll (HOT) Lanes</h3></div>
<p>Caliper Corporation developed a TransModeler traffic simulation of the <a href="High-occupancy_toll_lane" title="High-occupancy toll lane">High-occupancy toll lanes</a> (HOT) lanes on the <a href="Capital_Beltway" title="Capital Beltway">Capital Beltway</a> (I-495) in <a href="Virginia" title="Virginia">Virginia</a> with <a href="Transurban" title="Transurban">Transurban</a>, a leading toll road owner and operator in Australia and North America. The <a href="Capital_Beltway" title="Capital Beltway">Capital Beltway</a> HOT Lanes project is a nearly two billion dollar <a href="Public-private_partnership" class="mw-redirect" title="Public-private partnership">public-private partnership</a> that is intended to be an innovative solution to traffic congestion through dynamic, open-road tolling. Sensors will monitor traffic levels continuously, and a tolling algorithm designed to maintain a target level of service in the HOT lanes will adjust the price dynamically. Drivers who choose to use the HOT lanes will pay a toll conveyed to them via dynamic message signs. Carpools with three or more persons, buses, and emergency vehicles will be able to use the HOT lanes without charge.
</p>
<div class="mw-heading mw-heading3"><h3 id="Integrated_Corridor_Management_Program_–_Analysis,_Modeling_and_Simulation_(AMS)_for_the_I-270_Corridor_in_Montgomery_County,_Maryland_(Phase_I)">Integrated Corridor Management Program – Analysis, Modeling and Simulation (AMS) for the I-270 Corridor in Montgomery County, Maryland (Phase I)</h3></div>
<p>Caliper Corporation developed a pilot TransModeler micro-simulation model for the I-270 corridor in Montgomery County, MD. This work was conducted for the University of Maryland’s Center for Advanced Transportation Technology (CATT) and Maryland’s State Highway Administration (SHA). The objective of this project was to demonstrate the feasibility and benefits of TransModeler in supporting large-scale corridor analyses such as the Integrated Corridor Management (ICM) initiative by the US DOT. The ICM initiative aims to demonstrate the use of <a href="Intelligent_Transportation_Systems" class="mw-redirect" title="Intelligent Transportation Systems">Intelligent Transportation Systems</a> (ITS) to plan and manage congested traffic corridors by assisting decision-makers in identifying gaps, evaluating strategies, and investing in the best combination of strategies that would minimize congestion and improve safety. The I-270 corridor in Maryland is one of eight test sites selected by the US DOT.
</p>
<div class="mw-heading mw-heading3"><h3 id="Micro-simulation_of_Greater_Eureka_Area,_CA">Micro-simulation of Greater Eureka Area, CA</h3></div>
<p>Caliper has developed a micro-simulation model of the Greater Eureka Area (GEA) in Northern California for the California Department of Transportation (Caltrans) and Humboldt County. The simulation in TransModeler is integrated with the GEA travel model in TransCAD and includes a number of base year and future scenarios. The simulation model and the GEA travel model provide a comprehensive travel demand and traffic simulation platform with which Caltrans, county, and city staff evaluate projects now and in the future.
</p>
<div class="mw-heading mw-heading3"><h3 id="State_Route_91_Corridor_System_Management_Plan">State Route 91 Corridor System Management Plan</h3></div>
<p>CLR Analytics developed, calibrated, and validated a traffic microsimulation model for the State Route 91 (SR-91) Corridor System Management Plan (CSMP) study in Orange County, CA. The calibrated model was used as the base model for testing alternative build scenarios under future conditions. The Orange County section of the SR-91 is 25 miles long from the Los Angeles County line to the Riverside County line and includes interchanges with 5 different freeways. SR-91 contains both HOV, Toll, and mixed use lane facilities. All freeway facilities as well as most major arterials and their signalized intersections are included in the model. This model focuses on both the morning and afternoon rush hours from 6:00 to 10:00 AM and 2:00 to 8:00 PM, respectively, in order to cover all periods of congested travel.
</p>
<div class="mw-heading mw-heading2"><h2 id="Release_History">Release History</h2></div>
<ul><li>TransModeler 1.0 - December 2005</li>
<li>TransModeler 2.0 - January 2009</li>
<li>TransModeler 3.0 - December 2012</li>
<li>TransModeler 4.0 - October 2014</li>
<li>TransModeler 5.0 - March 2018</li>
<li>TransModeler 6.0 - October 2020</li>
<li>TransModeler 6.1 - January 2022</li></ul>
<div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2></div>
<ul><li><a href="Maptitude" title="Maptitude">Maptitude</a> GIS mapping software</li>
<li><a href="Caliper_Corporation" title="Caliper Corporation">Caliper Corporation</a></li></ul>
<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>
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<li id="cite_note-1"><span class="mw-cite-backlink"><b><a href="#cite_ref-1">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="http://www.urban-transportation-monitor.com/contents/vol16_no3.htm">Contents of The Urban Transportation Monitor</a></span>
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<li id="cite_note-2"><span class="mw-cite-backlink"><b><a href="#cite_ref-2">^</a></b></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">
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</style><cite id="CITEREFMahmudTown2016" class="citation journal cs1">Mahmud, Khizir; Town, Graham E. (June 2016). "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks". <i>Applied Energy</i>. <b>172</b>: <span class="nowrap">337–</span>359. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1016%2Fj.apenergy.2016.03.100">10.1016/j.apenergy.2016.03.100</a>.</cite></span>
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<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>
<ul><li><a rel="nofollow" class="external text" href="http://www.caliper.com">TransModeler official website</a> - Caliper Corporation</li></ul></div><!--htdig_noindex--><div><div class="zim-footer">
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