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CEE 220B Travel Demand Analysis II
Methods of discrete choice analysis and their applications in the modeling
of transportation systems. Emphasis on the development of a sound
understanding of the theoretical aspects of discrete choice modeling that
are useful in many applications in travel demand analysis.
CEE 220C Travel Demand Analysis III: Activity-based Approaches
The methodological underpinnings of activity-based travel demand modeling.
Presents methodologies within the context of a generalization of discrete
choice modeling approaches, emphasizing the distinctions that separate these
two approaches and presenting appropriate mathematical and statistical tools
to address these distinctions.
CEE 221A Transportation Systems Analysis I
Introduction to mathematical methods and models to address logistics
and urban transportation problems. Techniques include stochastic models,
queuing theory, linear programming, and introductory non-linear optimization.
CEE 221B Transportation Systems Analysis II
Advanced mathematical methods and models to address logistics and urban
transportation problems. Topics include network flows, advanced optimization
techniques, dynamic models, geometric models, and simulation.
CEE 222 Transit Systems Planning
Planning methods for public transportation in urban areas. Technological
and operational characteristics of vehicles, facilities, and systems.
Short-range planning techniques: data collection and analysis, demand
analysis, mode choice, operational strategies, financial analysis.
Design of systems to improve performance.
CEE 223A Artificial Intelligence Techniques in Transportation I
Introduction to basic concepts and characteristics of knowledged-based
expert systems in Transportation Engineering. Scope of expert systems,
difference from conventional programs, architecture, knowledge
representation and engineering, development tools.
CEE 223B Artificial Intelligence Techniques in Transportation II
In-depth study of selected topics in the application of artificial
intelligence techniques in transportation engineering, particularly
artificial neural networks or knowledged-based expert systems.
CEE 224A Transportation Data Analysis I
Statistical analysis of transportation data sources. Analysis of
categorical and ordinal data. Regression and advanced multivariate
analysis methods such as discriminant analysis, canonical correlation,
and factor analysis. Sampling techniques, sample error and bias,
survey instrument design.
CEE 224B Transportation Data Analysis II
Advanced methods of statistical analysis of transportation data sources;
causal modeling and structural equation models. Analysis of covariance
structures involving discrete choice and ordinal scale variables.
Prerequisite: CE224a or equivalent.
CEE 226A Traffic Flow Theory I
Traffic measurement and fundamental speed-density-flow relationships.
Kinematic models. Shock waves. Statistical-kinetic theory of traffic.
Introductory car following principles and stability. Gap acceptance.
Platoon dispersion. Two-fluid model. Queuing processes. Multi-regime
and catastrophe models. Higher order continuum models. Microscopic
and macroscopic simulation.
CEE 226B Traffic Flow Theory II
Advanced mathematical analysis of vehicular flow. Detailed treatise on
car following models. Fourier and Laplace analysis of stability problems.
Perturbation analysis. Derivation of macroscopic traffic flow relationships
from microscopic considerations. Advanced hydrodynamic theory.
CEE 227A Transportation Logistics I:
Logistics network configuration, inventory management and risk pooling,
the value of information, distribution strategies, international supply
chain management, coordinated product and supply chain management,
customer value and supply chain management, information technology,
decision support systems.
CEE 227B Transportation Logistics II
Optimization applied to freight network modeling. Freight and fleet
management including: inventory modeling and planning, and vehicle
routing and scheduling under deterministic and stochastic demand.
CEE 227C Transportation Logistics III
Facility location and routing. Optimization in location analysis,
distribution system design, siting for emergency and non-emergency
services, location routing with uncertainty, hazardous materials logistics.
CEE 228A Transportation Network Analysis I
Analytical approaches and algorithms to the formulation and solution
of the equilibrium assignment problem for transportation networks.
Emphasis on user equilibrium, comparison with system optimal,
mathematical programming formulation, supply functions, estimation.
Estimating origin-destination matrices, network design problems.
CEE 228B Transportation Network Analysis II
Advanced analysis, optimization, and moeling of transportation networks.
Topics include advanced static and dynamic traffic assignment algorithms,
linear and non-linear multi-commodity network flow optimization, network
simplex, and network control problems.
CEE 229A Traffic Systems Operation & Control I
Introduction to operational, control, and analysis of arterial
and freeway traffic systems. Control concepts, detectors, local
controllers and system masters, incident-detection, advanced traffic
measurement technologies, Intelligent Vehicle-Highway Systems,
Advanced Transportation Management Systems, Advanced Traveler
Information Systems.
CEE 229B Traffic Systems Operation & Control II
Introduction to control theory. Control formulations for corridor and
network systems with freeways and arterials. real-time control and
demand management. Development and application of microscopic and
macroscopic simulation models for integrated traffic systems. Dynamic
models of Intelligent Vehicle-Highway Systems.
CEE 282 Stochastic Modeling: Analysis and Simulation
An introduction to techniques for modeling dynamic, stochastic systems
and to the mathematical, numerical, and simulation tools used to analyze
them. Topics include the role of simulation modeling in the analysis of
large-scale stochastic systems, queueing systems, and verification and
validation procedures.
CEE 283 Mathematical Methods in Engineering Analysis
Tensors and matrices; eigenvalue problems; partial differential
equations; boundary value problems; special functions; introduction
to complex variables; calculus of variations and its applications.
CE 295C Transportation Engineering Seminar
Seminars scheduled each quarter by individual faculty in major field of interest.
Undergraduate Civil Engineering Transortation Courses
CEE 121 Transportation Systems I: Analysis and Design
Introduction to analysis and design of fundamental transportation system
components, basic elements of geometric and pavement design, vehicle flow
and elementary traffic, basic foundations of transportation planning and
forecasting. Laboratory sessions.
CEE 122 Transportation Systems II: Operations and Control
Introduction to fundamentals of urban traffic engineering, including data
collection, analysis, and design. Traffic engineering studies, traffic flow
theory, traffic control devices, traffic signals, capacity and level of
service analysis of freeways and urban streets. Laboratory sessions.
CEE 123 Transportation Systems III: Planning and Forecasting
Theoretical foundations of transportation planning, design, and analysis
methods. Theory and application of aggregate and disaggregate models for
land use development, trip generation, and destination, mode, and route
choice. Transportation network analysis. Planning, design, and evaluation
of system alternatives. Laboratory sessions.
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