Transportation Engineering
Overview
The main objectibve of masters program is to meet the need of the industry and transfer the adequate knowledge to the graduates about the transportation and its sub domains.
The students that graduated from this program are working in national and international organizations
Objectives
Graduates of this program will be able to perform effectively and accurately in areas of Transportation Engineering Specifically, the graduates of this program will;
i. Understand knowledge of relevant legal aspects in Transportation Engineering.
ii. Analyze practical and theoretical problems in order to provide structured solutions in Transportation Engineering.
iii. Communicate, write, and document clearly regarding the Transportation project issues.
Compulsory Courses
Coordination of City Planning and Transportation Planning. Trip generation, trip distribution, modal split, trip assignment models. Preparing landuse cum transport plans. Economic evaluation. Urban travel Characteristics and trends in travel demand. Basic urban transportation studies i/c origin destination surveys, Inventory use studies, Parking studies and transit surveys. Pedestrian facilities. Light rail and Mass Rapid Transit.
Design philosophy and present trends, Design controls and criteria. Design Speed, Safe Stopping & Passing Sight Distances, Road gradients, Superelevation. Capacity as Design control. Horizontal & Vertical alignments. Types of cross section, Speed Change Lanes, Medians, Design of at grade & grade separated intersections. Road‑rail crossings, Road planning. Highway drainage, Roadside development. Design automation concepts and introduction to highway design software.
Road inventory, Traffic measurements, flow, speed, road structures, driver, vehicle & pedestrian characteristic. Controlled & uncontrolled intersections. Signals, traffic light, road markings, traffic signs. One way and Tidal Flow System, Parking Controls, Environmental Management. Capacity Analysis of signalised and un-signalised intersections. Accident study and road safety. Intelligent Transport System
Probability: Concepts of Probability and their relevance to statistical analysis, Probability distributions relevant to transportation data analysis. Data Collection: Survey planning and design, traffic survey practice, inventory surveys, transport usage surveys, travel time and congestion surveys, matrix surveys, questionnaires and interviews, sources and use of secondary data, Statistics: Summary measures. Statistical distributions, confidence intervals, hypothesis testing, contingency tables, correlation and linear regression, ANOVA; Multivariate analysis
Pavement type, stress distribution in pavements; theoretical and actual subgrade conditions & traffic loading, design principles, methods & criteria for flexible pavements, rigid & semi-rigid pavements. Design of special duty & temporary pavements. Environmental influences & effects, pavement overlays, Mechanistic Design of Pavements. Pavement Subdrainage.