Applied Simulation Modeling of Transportation Systems

Course Description

EGN5465 – Applied Simulation Modeling of Transportation Systems is a 3-credit-hour graduate-level engineering course that develops competency in the simulation modeling of transportation systems for analysis, planning, and design. The course addresses the central role of simulation in modern transportation engineering — where traffic systems are too complex for analytical solution and where real-world experimentation is impractical, expensive, or unsafe. Topics include simulation modeling theory (discrete event simulation, microscopic vs. mesoscopic vs. macroscopic models, agent-based simulation), traffic flow theory foundations, the use of industry-standard simulation platforms (VISSIM, AIMSUN, CORSIM, SUMO, MATSim, TransModeler), data sources for transportation modeling, model calibration and validation, and the application of simulation to transportation engineering problems (signal timing optimization, intersection design, corridor analysis, transit planning, evacuation modeling, autonomous vehicle integration).

Coursework typically combines lecture and example-based instruction with substantial hands-on simulation work using one or more industry-standard platforms. Graduate students typically engage with research literature on transportation simulation methodology and apply simulation tools to substantial transportation engineering problems. Many institutional implementations include applied projects with real Florida transportation contexts (FDOT corridor studies, regional transportation authority projects, hurricane evacuation modeling).

EGN5465 is a Florida common course offered at approximately 2 Florida institutions. The course transfers as the equivalent course at Florida public postsecondary institutions per SCNS articulation policy where the receiving graduate program accepts the course; graduate course transfer is typically more restrictive than undergraduate transfer.

Learning Outcomes

Required Outcomes

Upon successful completion of this course, students will be able to:

• Apply simulation modeling foundations to transportation systems, including the simulation modeling process (problem formulation, conceptual model development, computer model implementation, calibration, validation, experimentation, analysis); the engineering value of simulation in transportation contexts.
• Apply traffic flow theory at intermediate level, including the fundamental traffic flow relationships (flow-density-speed); shockwave theory; car-following models; lane-changing models; the integration with simulation modeling.
• Distinguish among simulation model types, including microscopic models (individual vehicle modeling — VISSIM, AIMSUN, SUMO); mesoscopic models (vehicle platoons or links — DynaSMART, Mezzo); macroscopic models (aggregate flow models — TransCAD, Cube); agent-based models (MATSim); the appropriate selection for transportation problem types.
• Apply discrete event simulation principles as foundation for transportation modeling, including the event-scheduling paradigm; the random-number generation and stochastic processes; the management of simulation time.
• Use industry-standard transportation simulation software at intermediate level, typically including hands-on competency with at least one of: VISSIM (PTV); AIMSUN (Aimsun Next); CORSIM (TSIS-CORSIM, FHWA); SUMO (Eclipse SUMO, open source); MATSim (open source); TransModeler (Caliper).
• Apply transportation simulation data sources, including FDOT data resources; National Performance Management Research Data Set (NPMRDS); MPO travel demand model data; signal timing data; ITS data; the integration of multiple data sources for simulation modeling.
• Apply model calibration and validation, including the calibration of simulation models to observed traffic conditions; the validation of simulation results against independent data; the appropriate metrics for transportation simulation validation; the engineering judgment in calibration-validation iteration.
• Apply signal timing analysis and optimization using simulation, including the analysis of intersection performance under various signal timing scenarios; the use of simulation for signal optimization; the comparison of analytical methods (HCM) with simulation results.
• Apply corridor and network analysis using simulation, including the analysis of arterial corridors; the analysis of freeway-arterial interactions; the analysis of network performance.
• Apply transit and multi-modal simulation, including the simulation of transit operations; transit signal priority; the integration with general traffic; pedestrian and bicycle modeling at introductory level.
• Apply simulation to specific transportation problems, including evacuation modeling (with Florida-specific hurricane evacuation context); work zone analysis; incident management; autonomous and connected vehicle simulation at introductory level.
• Engage with transportation simulation research literature, including the location and evaluation of peer-reviewed transportation simulation research; the synthesis of literature for application contexts.
• Develop substantive transportation simulation projects applying simulation tools to substantial transportation engineering problems, with the depth of analysis and communication appropriate for graduate engineering work.

Optional Outcomes

• Apply autonomous and connected vehicle simulation at intermediate level, including the modeling of CAV behavior in mixed traffic; the analysis of CAV impacts on system performance.
• Apply introductory machine learning for transportation simulation, including the use of ML for model calibration, anomaly detection, and traffic prediction.
• Apply simulation in transportation policy analysis, including the analysis of policy alternatives through simulation.
• Apply large-scale regional simulation modeling, including travel demand-supply integration.
• Develop work suitable for conference presentation (TRB Annual Meeting; ITE Annual Meeting; ASCE T&DI Conference) or peer-reviewed publication.

Major Topics

Required Topics

• Transportation Simulation Foundations: The role of simulation in modern transportation engineering; the limits of analytical methods (HCM) and the engineering value of simulation; the simulation modeling process (problem formulation through analysis); the relationship to engineering practice and research.
• Traffic Flow Theory at Intermediate Level: The fundamental traffic flow relationships (flow q, density k, speed v; the relationship q = kv); the fundamental diagram; shockwave theory; queue formation and dissipation; the engineering applications.
• Microscopic Traffic Simulation Foundations: Car-following models (Wiedemann, Gipps, IDM at conceptual level); lane-changing models; gap acceptance; the simulation of individual driver behavior; the engineering implications of microscopic modeling.
• Mesoscopic and Macroscopic Models: Mesoscopic models (DynaSMART, Mezzo) for region-scale modeling; macroscopic models (TransCAD, Cube, VISUM) for travel demand modeling; the selection between model levels.
• Agent-Based Modeling for Transportation: MATSim and similar agent-based platforms; the simulation of activity-based travel; the modeling of large-scale urban systems.
• Discrete Event Simulation Foundations: The event-scheduling paradigm; stochastic processes in simulation; random-number generation; statistical considerations in simulation experiments (replications, warm-up, output analysis).
• VISSIM Hands-On (Where Used): The VISSIM environment; network coding (links and connectors); vehicle inputs and routing; signal control; signal time-of-day plans; output measurement; the practical use of VISSIM for engineering analysis.
• Other Simulation Platforms: AIMSUN Next; CORSIM (TSIS-CORSIM); SUMO (open source); MATSim; TransModeler; the comparison of platforms; institutional preference and licensing considerations.
• Transportation Data Sources: FDOT data resources (Roadway Characteristics Inventory, Florida Traffic Online, signal timing data); the National Performance Management Research Data Set (NPMRDS); MPO travel demand model data; signal data; ITS sensor data; the integration of multiple data sources.
• Model Calibration and Validation: The calibration of simulation models (driving behavior parameters, signal timing, route choice); the validation of simulation results against independent data; the appropriate metrics (GEH, RMSE, percentage error); the engineering judgment in calibration-validation iteration.
• Statistical Analysis of Simulation Output: The replication-based analysis of simulation experiments; confidence intervals for simulation outputs; the comparison of alternatives through simulation; sample size determination for simulation experiments.
• Signal Timing Analysis with Simulation: The analysis of intersection performance (delay, queue length, level of service) under various signal timing; the use of simulation for signal optimization; the comparison with HCM analytical methods.
• Corridor Analysis with Simulation: Arterial corridor analysis; signal coordination; the analysis of corridor alternatives; the integration with adjacent freeway operations.
• Network Analysis with Simulation: Multi-corridor analysis; route choice and traffic assignment in simulation; the analysis of system-level performance.
• Transit and Multi-Modal Simulation: Simulation of transit operations; transit signal priority; transit-traffic interactions; pedestrian and bicycle modeling at introductory level; the engineering implications.
• Specific Transportation Applications — Evacuation Modeling: The simulation of evacuation scenarios; the Florida-specific hurricane evacuation context; the integration with regional and statewide planning.
• Specific Transportation Applications — Work Zones: The simulation of work zone configurations; lane closure analysis; queue analysis; the integration with construction project decision-making.
• Specific Transportation Applications — Incident Management: The simulation of incident scenarios; the analysis of incident management strategies; the integration with traffic management center operations.
• Connected and Autonomous Vehicle Simulation — Introduction: The simulation of CAV behavior in mixed traffic; the analysis of CAV impacts on traffic operations; the engineering implications for transportation planning.
• Transportation Simulation Project: Substantive project applying simulation tools to a substantial transportation engineering problem, with the depth of analysis and communication appropriate for graduate engineering work.

Optional Topics

• Connected and Autonomous Vehicle Simulation at Intermediate Level: The detailed modeling of CAV behavior; the analysis of CAV deployment scenarios; the engineering applications.
• Machine Learning for Transportation Simulation: The use of ML for calibration; anomaly detection; traffic prediction.
• Transportation Policy Analysis: The use of simulation to analyze transportation policy alternatives; the integration with cost-benefit analysis.
• Large-Scale Regional Simulation: Travel demand-supply integration; the integration of regional travel demand models with operational simulation.
• Visualization for Transportation Simulation: 3D visualization; animation; the communication of simulation results to non-technical audiences.

Resources & Tools

• Common Texts: Traffic Flow Fundamentals (May — classic reference); Traffic Engineering (Roess/Prassas/McShane); Modeling of Traffic Flow Phenomena (Treiber/Kesting); platform-specific textbooks (PTV VISSIM user guide; SUMO documentation; MATSim documentation)
• Research Resources: Transportation Research Record (TRB journal); Transportation Research Part C: Emerging Technologies; ASCE Journal of Transportation Engineering; ITE Journal; FDOT Research Reports; NCHRP Research Reports
• Simulation Software: VISSIM (PTV — institutional licensing common); AIMSUN Next (Aimsun); CORSIM (TSIS-CORSIM, FHWA — historically free); SUMO (Eclipse SUMO, free open source); MATSim (free open source); TransModeler (Caliper); the institutional choice typically reflects program faculty expertise and project sponsor preference
• Data Sources: FDOT (Florida Department of Transportation) data resources; National Performance Management Research Data Set (NPMRDS); regional MPO travel demand models; signal timing databases; OpenStreetMap for SUMO/MATSim base networks
• Reference Resources: Transportation Research Board (TRB) — the primary professional venue for transportation research; Institute of Transportation Engineers (ITE); ASCE Transportation & Development Institute (T&DI); FDOT (Florida Department of Transportation); FDOT Districts (5 — Central Florida; 6 — South Florida; 4 — Southeast Florida; 7 — West Central Florida)

Career Pathways

EGN5465 supports career pathways in transportation engineering with simulation focus:

• Transportation Engineering — Simulation and Operations — Direct preparation; senior transportation engineering roles requiring simulation expertise.
• Traffic Engineering Consulting — Major Florida and national engineering consultancies (AECOM, HDR, Kimley-Horn, WSP, Stantec, Atkins-SNC Lavalin, Jacobs, others) with substantial transportation simulation practice.
• Public Sector Transportation Engineering — Florida Department of Transportation (FDOT central office and 7 districts); regional transportation authorities; metropolitan planning organizations (MPOs); county and municipal traffic engineering.
• Federal Transportation Agencies — Federal Highway Administration (FHWA); Federal Transit Administration (FTA); USDOT.
• Connected and Autonomous Vehicle Industry — CAV simulation roles in vehicle manufacturers, technology companies, and Florida-based CAV testing contexts (the Florida CAV testbed).
• Transportation Research — University research groups; FDOT research; national transportation research labs.
• Doctoral Transportation Engineering Study — Strong preparation for PhD work in transportation engineering, transportation systems, transportation operations.

Special Information

The Florida Transportation Engineering Context

Florida hosts substantial transportation engineering activity. The Florida Department of Transportation (FDOT) operates one of the largest state transportation programs in the nation. Florida's geography and demographics create distinctive transportation challenges (substantial freight movement; tourism-driven seasonal traffic patterns; hurricane evacuation; rapidly growing metropolitan areas — Tampa Bay, Orlando, Miami-Dade, South Florida, Jacksonville). Florida's connected and autonomous vehicle testing programs (SunTrax in Polk County, City of Tampa CAV testbed, Babcock Ranch test corridor, others) make Florida a national leader in CAV simulation and analysis.

Software Licensing and Institutional Variation

Transportation simulation software licensing varies by institution. Commercial platforms (VISSIM, AIMSUN, TransModeler) require institutional licensing or student access programs. CORSIM (FHWA) has been historically free for academic use. SUMO and MATSim are free open source. The platform emphasis in EGN5465 typically reflects the institution's research program emphasis and licensing access.

General Education and Transfer

EGN5465 is a Florida common course number that transfers as the equivalent course at Florida public postsecondary institutions per SCNS articulation policy where the receiving graduate program accepts the course. Graduate course transfer is more restrictive than undergraduate transfer.

Course Format

EGN5465 is offered in face-to-face, hybrid, and increasingly online formats. The simulation work translates well to online delivery; many graduate transportation engineering programs offer online sections to support working professional students at FDOT, MPOs, and consulting firms.

Position in the Graduate Engineering Curriculum

EGN5465 is typically taken as a specialty graduate course in transportation engineering tracks. The course is well-positioned for thesis or dissertation research in transportation simulation.

Working Professional Considerations

Many graduate transportation engineering students work in the Florida transportation engineering field while pursuing graduate study. The course's content typically aligns well with industry practice at FDOT, MPOs, and major consulting firms.

Prerequisites

EGN5465 typically requires:

• Bachelor's degree in engineering or related discipline
• Admission to a graduate engineering program
• Foundational transportation engineering coursework (typically a transportation engineering or traffic engineering course at the undergraduate level)
• Foundational statistics (typically EGN2440 or comparable)
• Foundational programming exposure helpful but not always required (some programs assume any-language programming literacy; others teach simulation platforms without programming prerequisites)