Transportation

Overview

The transportation engineering program offers opportunities for study and research in the planning, design, construction, operation, and management of transportation facilities and services. We emphasize systems approach to understand the interactions among transportation services, demand, mobility, socio-economic activities, environment, energy, and the quality of life in the region. We use a variety of techniques, from global positioning and geographic information systems to artificial intelligence, to solve problems in:

• Transportation demand forecasting
• Traffic engineering and controls
• Construction methods and management
• Logistics and freight transportation
• Pavement design and performance
• Intermodal urban transportation systems
• Asset management

The education program maintains close links with the Delaware Center for Transportation and the University Transportation Center.

Degrees Offered

• Master’s of Civil Engineering
• Master’s of Applied Science
• PhD in Civil Engineering

Courses

Core Courses:

• CIEG 652 – Transportation Facilities Planning & Design
• CIEG 653 – Roadway Geometric Design
• CIEG 654 – Transportation Planning
• CIEG 663 – Traffic Engineering & Modeling

Suggested Electives:

• APEC 601/APEC 602 – Survey of Operations Research
• APEC 603 – Simulation Modeling & Analysis
• BUAD 836 – Problem Structuring and Analysis for Decision Making
• CIEG 614 – Railroad Geotechnical Engineering
• CIEG 617 – Introduction to Railroad Safety and Derailment Engineering
• CIEG 618 – Introduction to Railroad Engineering
• CIEG 621 – Soil Mechanics
• CIEG 641 – Risk Analysis
• CIEG 650 – Urban Transportation Systems
• CIEG 655 – Civil Infrastructure Systems
• CIEG 658 – Pavement Analysis & Design
• CIEG 686 – Engineering Project Management
• ECON 801 – Microeconomics
• ECON 802 – Macroeconomics
• GEOG 670 – Geographic Information Systems
• GEOG 671 – Advanced Geographic Information Systems
• GEOG 677 – Spatial Data Analysis
• MAST 663 – Decision Tools for Policy Analysis
• MAST 672 – Applied Policy Analysis
• STAT 601 – Probability Theory for Operations Research and Statistics
• STAT 602 – Mathematical Statistics
• STAT 608 – Statistical Research Methods
• STAT 609 – Regression and Experimental Design
• UAPP 601 – Measure and Define Planning Problems (1 credit)
• UAPP 602 – Introduction to Comprehensive Planning (1 credit)
• UAPP 603 – Introduction to Zoning and Land Use Controls (1 credit)

Faculty

Nii Attoh-Okine – Pavement design and analysis; data science; civil infrastructure systems; probability graphical models in pavement engineering; MEMS applications in civil infrastructure systems; application of the Hilbert-Huang Transform; Big Data

Ardeshir Faghri – Transportation systems engineering; computer methods in transportation and traffic engineering; intelligent transportation systems; transportation in developing countries

Earl “Rusty” Lee – Modeling interdependent infrastructure systems with emphasis on system design, vulnerability and resilience; Uses of travel demand models to support planning and operations; models for demand response signal corridors; impacts of major events on transportation systems; safety data visualization.

Mark M. Nejad – Autonomous and connected vehicles, electric vehicles, sustainable transportation, interdependent infrastructure systems, operations research, network optimization, cloud computing, game theory

Dr. Allan Zarembski – Railroad engineering, Railroad safety, Railroad track mechanics, Derailment Engineering, Railroad maintenance and planning

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