school of engineering & technology...[transportation engineering & planning] year :first...

15
School of Engineering & Technology Course Structure for Postgraduate Programme of Master of Technology in Civil Engineering (M.Tech.-Transportation Engineering and Planning) Semester I Sr. No. Core Course Course Code Theory Paper/Practical Teaching Scheme (Hrs./Week) Credits Duration University Exam. (Hrs.) CIA Examination Scheme Total Marks L T P Total T P/O 01 UC 17RDP101 Research Methodology 4 -- -- 4 4 3 50 50 -- 100 02 PC PTR102 Transportation Economics and Evaluation 4 -- -- 4 4 3 50 50 -- 100 03 PC PTR103 Highway Materials and Construction 4 -- -- 4 4 3 50 50 -- 100 04 PC PTR104 Urban Transportation Planning 4 -- -- 4 4 3 50 50 -- 100 05 Elective I PE PTRE01 Traffic Flow Theories 4 -- -- 4 4 3 50 50 -- 100 PE PTRE02 Bridge & Tunnel Engineering PE PTRE03 Decision Models in Management PE PTRE04 Transportation Software Laboratory. PE PTRE05 Ground Improvement Techniques 09 PC PTR111 Lab practice-I 4 4 2 3 50 -- 50 100 Total 20 -- 4 24 22 300 250 50 600

Upload: others

Post on 25-Jun-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

School of Engineering & Technology

Course Structure for Postgraduate Programme of Master of Technology in Civil Engineering

(M.Tech.-Transportation Engineering and Planning)

Semester I

Sr.

No.

Core

Course

Course

Code Theory Paper/Practical

Teaching Scheme

(Hrs./Week) Credits

Duration

University

Exam. (Hrs.)

CIA Examination

Scheme Total

Marks

L T P Total

T P/O

01 UC 17RDP101 Research Methodology 4 -- -- 4 4 3 50 50 -- 100

02 PC PTR102 Transportation Economics and

Evaluation 4 -- -- 4 4

3 50 50 -- 100

03 PC PTR103 Highway Materials and

Construction

4 -- -- 4 4

3 50 50 -- 100

04 PC PTR104 Urban Transportation Planning

4 -- -- 4 4 3

50 50 -- 100

05

Elective – I

PE PTRE01 Traffic Flow Theories

4 -- -- 4 4 3

50 50 -- 100

PE PTRE02 Bridge & Tunnel Engineering

PE PTRE03 Decision Models in Management

PE PTRE04 Transportation Software Laboratory.

PE PTRE05 Ground Improvement Techniques

09 PC PTR111 Lab practice-I 4 4 2 3 50 -- 50 100

Total 20 -- 4 24 22 300 250 50 600

School of Engineering & Technology

Course Structure for Postgraduate Programme of Master of Technology in Civil Engineering

(M.Tech.-Transportation Engineering and Planning)

Semester - II

Sr.

No. Core Course Course Code Theory Paper/Practical

Teaching

Scheme

(Hrs./Week) Credits

Duration

University

Exam.

(Hrs.)

CIA

Examination

Scheme

Total

Marks

T P Total T P/O TW

01 PC PTR201 Traffic Engineering & Road Safety 4 -- 4 4 3 50 50 -- -- 100

02 PC PTR202 Pavement Analysis & Design 4 -- 4 4 3 50 50 -- -- 100

03 PC PTR203 Operation , Maintenance&

Management of Pavements 4 -- 4 4 3 50 50 -- -- 100

04 PC PTR204 Regional Transport System &

Planning 4 -- 4 4 3 50 50 -- -- 100

05

Elective – I

Elective – II

PE PTRE05 Railway and Airport engineering.

4 -- 4 4 3

50 50 -- -- 100 PE PTRE06

Transportation Network Analysis and

Optimization

PE PTRE07 Highway Soil mechanics

PE PTRE08 Computer aided analysis and design

06 PC PTR211 Lab practice-II 4 4 2 3 50 -- 50 -- 100

Total 20 4 24 22 200 300 50 50 600

School: School of Engineering & Technology Programme: M.Tech [Transportation

Engineering & Planning]

Year : First Year Semester - I

Course:Elective – I Traffic Flow Theories

Course Code:PTRE01

Theory: 4Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

1 To impart knowledge in traffic flow characteristics

2 To impart knowledge in traffic flow modeling and computer simulation

3 To gain knowledge on performance indicators of traffic stream

4 To impart knowledge in geographical information systems

Unit

Number Details Hours

I

Traffic flow and traffic stream parameters:

Fundamentals of traffic flow and traffic stream parameters, fundamental relation

of traffic flow, fundamental diagrams of traffic flow, time-space diagram,

measurement procedures, gap acceptance concepts – estimation of critical gap.

12

II

Macroscopic traffic flow models:

Macroscopic speed-density models – Greenshield’s model, Greenberg’s model,

Exponential models, Generalized polynomial model and Multi-regime model,

Calibration of macroscopic models,Macroscopic speed-flow and speed-density

relations, Continuum models of traffic flow, and Concepts of shock waves –

types and speed.

12

III

Microscopic traffic flow models:

Car following behavior, GM model of car following behavior, car following

models, Queuing theory, Queue discipline - Waiting time in single channel

queues and extension to multiple channels.

12

IV

Performance indicators:

Peak hour factor, Travel times and their reliability – travel time definitions,

Queueing delays, travel time estimation using cumulative plots, reliability and

robustness properties, and Level of service

12

V

Geographical Information System:

Global positioning system, intelligent transportation systems, area traffic control,

automatic toll collection, and collision detection system.

12

Total 60

Course Outcomes

After successful completion of the course, students should be able to:

1 analyze and interpret traffic flow characteristics and traffic stream parameters

2 interpret and calibrate macroscopic traffic flow models

3 interpret macroscopic traffic flow models

4 estimate various performance indicators of traffic stream

5 gain an insight into the utilities of various geographical information systems

Resources

Reference Books 1. TRB - SR No.165 - Traffic Flow Theory, Transportation Research Board,

Washington - D.C.

2. May, A D., Traffic Flow Fundamentals, Prentice-Hall, NJ

3. Drew, D.R., Traffic Flow Theory and Control, McGraw-Hill, New York.

4. Wohl M. and Martin, B V., Traffic System Analysis for Engineers and

Planners, McGraw-Hill, New York.

5. McShane W R & Roess R P, Traffic Engineering, Prentice-Hall, NJ

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - I

Course: Elective – I Bridge & Tunnel

Engineering

Course Code:PTRE02

Theory: 4 Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

1. Explain various aspects related toconstruction and maintenance of Railway, Harbour and Tunnel

Structures.

2. Describe various procedures for construction activities related to Railway, Harbour and

Tunnelstructures

3. SuperviseRailway, Harbour and Tunnel related maintenance work

4. Supervise the construction of berthing structure

5. Selectand test materials on site and laboratory as per IS requirement.

Unit

Number Details Hours

I Bridge: General & Specification

Components of Bridges, Classification, Importance of Bridges, Investigation for

Bridges, Selection of Bridge site, Economical span, Location of piers and

abutments, Subsoil exploration, Scour depth, Traffic projection, Choice of

bridge type Specification of road bridges, width of carriageway, loads to be

considered, dead load, IRC standard live load, Impact effect ,Site visit of any

existing bridge/or new bridge site in nearby area.

12

II Bridge Design & Evaluation of Substructures

Bridge Design & Evaluation of Substructures General design considerations,

Design of culvert, Foot bridge – slab bridge, T-beam bridge, Pre-stressed

concrete bridge, Box Culvert-Fly over bridges Pier and abutments caps, Design

of pier, Abutments, Type of foundations

12

III Importance of Bearings

Importance, Bearings for slab bridges, Bearings for girder bridges, Electrometric

bearing, Joints, Expansion joints; Construction and Maintenance of bridges,

Lessons from bridge failures

12

IV Tunnel Surveying,Design, Methods Of Tunneling, New Austrian Tunneling

Method.

Tunnel: Necessity and Purpose, Advantages and economics, Classification,

selection of tunnel, tunnel approach, Geological and geotechnical investigation-

during planning, designing and construction stage.Tunnel: Necessity and

Purpose, Advantages and economics, Classification, selection of tunnel, tunnel

approach, Geological and geotechnical investigation- during planning, designing

and construction stage.

Design of tunnel-Deign of shape and size of tunnel, vertical shaft,Methods of

tunnelling-Methods of tunneling in soft ground, firm ground and running ground

New Austrian Tunnelling Method- Basic Principal of NATM, Details of NATM

at Loktak, Shotcreting and Grouting process,TBM&itsworking,Site visit

12

V Lining and grouting, Tunnel Ventilation, Safety, Tunnel Drainage.

Lining and grouting::Purpose, objective, type and material used for lining,

Sequence of lining work, Tunnel Ventilation:Tunnel Ventilation, Dust Control,

and lighting: Objective of Ventilation,Natural and Mechanical methods of

ventilation, methods of dust control, Lighting- types, spacing. Lighting after

construction. Safety:Precaution in Tunneling: Safety Program, Medical and other

facilities,Electrical installation of lighting, Causes of accidents and

preventivemeasures. Tunnel Drainage:Pre-drainage, De-watering of ground

water, Permanent drainage,Handling unexpected sources of water.

12

Total 60

Course Outcomes

1 Understand the characteristics of bridge and tunnel.

2 Learn various bylaws in Bridge and tunnel construction.

3 Understand construction process and sequence of operations in Bridge and Tunnel Construction.

Resources

Reference Books 1. Victor, D.J., Essentials of Bridge Engineering, Oxford & IBH Publishers Co.,

New Delhi, 1980.

2. Bridge Engineering, PonnuSwamy; Tata McGraw – Hill

3. Tunnel Engineering, SubhasSaxsena; Dhanpatrai& Sons

4. Bridge Superstructure, N. Rajagopalan; Narosa Publishing House

5. Tunnel Engineering, SubhasSaxsena; Dhanpatrai& Sons

6. Bridge Engineering ,S.P.Bindra

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - I

Course: Elective – I Decision Models in

Management

Course Code:PTRE03

Theory: 4 Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

The course is basics of making management decisions. The study of the course is important to

understand the Quantitative methods for making any management decisions. The formulation of the

linear and nonlinear problems is studied in the course, which may be useful to the student in the research

work. It also includes understanding of basics of Queuing theory and models. The principles of

transportation problems, their formulation are covered in the study. Various Optimization techniques are

also included for the study. It is necessary to solve the various integer programming, dynamic

programming, network models etc.

Unit Details Hours

Number

I Introduction, Linear programming

Quantitative methods for management decisions. Operation research.Decision

environment, Decision making processes.Linear programming problems,

graphical solution, Simplex method, duality, post optimality analysis; Primal and

dual solution approaches; Sensitivity analysis, Unconstrained and constrained

optimization, Kuhn- Tucker theory; Quadratic programming applications

12

II Transportation problems-

Transportation and transshipment problems

12

III Assignment Problems-

Various problems based of Traffic assignment

12

IV Discrete event simulation, Queuing theory.

Generation of random variables, simulation processes and languages. Theory,

Queuing Models, Markov decision processes; Applications to inventory

management and Replacement processes.

12

V Network models

Shortest path method, maximum flow,Minimum spanning tree

Problem,Decision making advanced tools or introduction to softwares which are

commonly used in optimization viz.likeANN,Fuzzy,Neurofuzzy etc.

12

Total 60

Course Outcomes

1 Understand the concepts of quantitative methods for management decision and subsequently their

applications in transportation engineering.

2 Use shortest path method

Resources

Reference Books 1. A Ravindran, D.T.Philips and J.J.Solberg, Operations Research: Principles

and Practice, John Wiley, 2nd Edition, 1987

2. Neylor, T.H., Computer Simulation Techniques, John Wiley, 1st Ed., 1966.

3. N.D.Vora, Quantititative Techniques in management, Tata McGrawhill,

1990.

4. Engineering Optimisation - Theory & Practice, S.S. Rao; New Age

International Publishers

5. Linear Programming and Network Flows, S.Bazzarra, J.J.Jarvis and

H.D.Sherali; John Wiley

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - I

Course: Elective – I Transportation Software

Laboratory

Course Code:PTRE04

Theory: 4 Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives The course provides knowledge and practice for various software related to Transportation

Engineering. It also let the students know about use of MS-excel, origin, MxRoad and MSPSS for various

calculation and model making for traffic calculations.

Unit

Number Details Hours

I Data Processing, Graphical Presentation and Interpretation:

Data Processing and analysis, Standard functions and tools, Statistical

analysis of data, Graphical representation and interpretation of data

12

II Mathematical and Statistical Analysis:

Linear Regression, Multiple Linear Regression and Non-linear Regression,

Statistical distributions, Parametric and Non-parametric

tests, Time Series Analysis, Univariate and Multivariate Analysis

12

III Basics of AutoCAD and MX-Road:

2D Drawing and Advance Features, 2D and 3D images modeling,

Network analysis, shortest path analysis

12

Total 36

Course Outcomes

1. Analyses traffic data and generate plots using MS Excel, and Origin.

2. Apply curve fitting techniques using tools including MS Excel, Origin, and SPSS.

3. Develop models using MATLAB, and SPSS.

4. Prepare longitudinal and cross-sections of highways, highway intersection plans, 2D/3D drawings of

interchanges using AutoCAD.

5. Use of MxRoads for geometric design of highways.

Reference Books

1. Statistical and Econometric Methods for Transportation Data Analysis

Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering; CRC Press

2. Probability and Statistical Inference, Robert V. Hogg, and Elliot A. Tanis; Prentice Hall

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - II

Course: Elective II: Railway & Airport Engg Course Code:PTRE05

Theory: 4 Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

1. To study about the types and functions of track, junctions and railway stations.

2. To learn about the aircraft characteristics,planning and components of airport.

Unit

Number Details Hours

I Railway Engineering

Transportation and its development, Long term operative plans for Indian

Railways. Classification ofRailway lines and their track standards, Railway

terminology, Traction and tractive Resistance

12

II Alignment & Surveys of Railway Engineering

Alignment & Surveys of Railway Engineering Hauling capacity and tractive

effort of locomotives, different Types of Tractions. Permanent Way: Alignment

Surveys, Requirement,gauges, track section

12

III Geometric Design of Railway

Coning of wheels, Stresses in railway track, high speed track. Geometric design

of railway track, Gauge, Gradient, speed, super elevation, cant deficiency,

Negative super elevation, curves, length of transitioncurves, grade

compensations.

12

IV Airport Engineering.

Development of Air Transportation in India: Airport site election. Modern

aircraft’s. Airport obstructions: Zoning Laws, Imaginary surfaces, Approach and

Turning zone, clear zone, vert. Clearance for Highway & Railway.

12

V Geometric Design of Airport

Runway and taxiway design: Windrose, cross wind component, Runway

Orientation and confuguration. Basic runway length and corrections, runway

geometric design standards. Taxiway Layout and geometric design standards.

Taxiway and other areas. Air traffic control : Need, Network, control aids,

Instrumental landing systems

12

Total 60

Course Outcomes

1 Understand the functions of track, junctions and railway stations.

2 Understand the concepts of airport planning process, various Aircraft components and its

function.

3 Understand the concept of Airport, airside capacity delay, runway capacity delays, practical

hourly capacity, computation of runway system, runway gate capacity, taxiway capacity

4 Know the Importance of Airport marking lighting of runways.

Resources

Reference Books 1. Geoffrey D. Gosling; Airport ground access mode choice models,

Transportation Research Board, Washington, D.C., 2008

2. Norman J. Ashford, SalehMumayiz, Paul h. Wright; Airport Engineering

Planning, Design, and Development of 21st century Airports, John Wiley &

Sons, Inc.,2011

3. Railway Engineering, Saxena;, DhanpatRai Publication,

4. Horenjeff Robert; The planning & Design of Airports, McGraw Hill Book

Co., 2007

5. Robert G. Packard, Design of Concrete Airport Pavement, Portland Cement

Association, USA,1999

6. Railway Track Engineering , Mundre,Tata McGraw Hill Publication

7. Airport Engineering,Rangwala/Khanna-Jain-Arora

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - II

Course: Elective – II [Transportation Network

Analysis and Optimization]

Course Code:PTRE06

Theory: 4 Hrs/Week Max. University Theory Examination: 50 Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

1. understanding the concept ofequilibriumand its role in transportation systems analysis;

2. becoming familiar with formulations, analytical properties and solution algorithms of

classical network models that arise from transportation applications

Unit

Number Details Hours

I Fundamental of Algorithms

Applications of Network flows, definitions, graphs, paths, trees, cycles, loops,

walk, network representation (adjacency list and matrices) and basic network

transformations; Network algorithms; Complexity, Search Algorithms,

Strategies for designing polynomial algorithms.

12

II Algorithms &optimality conditions

Shortest Path Algorithms Label setting, Dijkstra’s and Dial’s algorithms,

Optimality conditions, label correcting algorithms and optimality conditions,

detecting negative cycles, all-pair shortest path algorithms; pre-flow push

polynomial time algorithms, capacity scaling techniques.

12

III Network equilibrium analysis

Minimum cost network assignment optimality conditions, cycle-canceling

algorithm, Successive shortest path algorithm, other polynomial time variants;

Network equilibrium analysis; principles and optimisation formulations, Frank-

Wolfe algorithm; Special cases and variants.

12

IV Application of Algorithms

Applications of min-cost, max-flow, and shortest path algorithms to

transportation and infrastructure networks transportation networks, airline,

freight, facility location, logistics, network design

12

V Software Principles

Reliability of distribution systems, project scheduling, telecommunication/power

networks etc. Computer Software Principles of TRIPS, SATURN, EMME/2,

CUBE; Demo Versions, Case studies

12

Total 60

Resources

Reference Books 1. Ahuja, R.., Magnanti, T.L., and Orlin, J.B., Network Flows Theory, Algorithms and

Application, Prentice Hall, New Jersey, 1993.

2. Bell, M.G., Transportation Networks, Elsevier Science Publishers, 1999.

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - II

Course: Elective – II [Highway Soil Mechanics] Course Code: PTRE07

Theory: 4 Hrs/Week Max. University Theory Examination: 50

Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50 Marks

Objectives

1 To develope a skill in dealing with soil exploration programme

2 Understanding of index engineering properties and behaviour of soils for later applications to

Highway Engineering

Unit

Number Details Hours

I Soil Classification, Index Properties Soil; Exploration and Geophysical

Investigation Methods of exploration; Geophysical exploration; Soil sampling

and samplers; In-situ tests Common soil tests; Soil investigation report.

12

II Shear strength Stress at a point, failure criteria, the Mohr failure hypothesis, Mohr Coulomb

failure criterion, shear strength measurement.

Stress path

Stress path parameters, total and effective stress paths in CU triaxial test,

application of stress path in engineering practice, common types of triaxial tests

and their stress paths, Skempton's pore pressure equation

12

III Compaction and Consolidation

Engineering Properties of Soil Compaction: Factors affecting compaction,

laboratory tests, compaction in field, compaction specifications and field control.

Consolidation: Fundamentals of consolidation, consolidation parameters, one

dimensional laboratory consolidation test, time rate of consolidation.

12

IV Stability of slopes

Infinite slopes and translation slides, finite slopes – forms of slip surface,

limiting equilibrium method, total stress and effective stress method of analysis,

friction circle method, Taylor’s stability number, Bishop’s method of stability

analysis, use of stability coefficients.

Earth pressures and retaining walls

Effect of wall movement on earth pressure, Rankine’s theory of earth pressure,

Coulomb;s theory of earth pressure, passive earth pressure – Friction Circle

Method.

12

V Ground Improvement Techniques

Need of ground improvement; Shallow compaction, Deep compaction;

Preloading, Drainage, Vibroflotation, Sand drains and Geosynthetics drains;

Mechanical stabilization; Chemical stabilization; Stone columns; Grouting;

Geosynthetics and other soil reinforcement methods; Soil nailing;Case histories

12

Total 60

Course Outcomes

1 Clasify soils and determine their physical characteristics. Understand different methods of soil

exploration and able to preapre soil investigation report

2 Determine shear strength parameters from triaxial soil tests.

3 Determine the compaction of soils and be able to specify and monitor field compaction .

4 Determine the lateral earth pressure and understand stability of slopes

5 Able to suggest different ground improvement techaniques.

Resources

Reference Books 1. Soil Mechanics in Highway Engineering, Rodriguez,A,R, Castillo del.h,

Trans Tech Publications

2. Essentials of Soil Mechanics and Foundations, David McCarthy, Pearson

Education

3. Basic Soil Mechanics, R. Whitlow, Pearson Education

4. Terzaghi , Peck .and Mesri “ Soil Mechanics in Engineering Practice “ 1996.

5. Das B M, "Principles of Geotechnical Engineering", PWS Publishing Co.,

Boston, 1990.

School: Engineering & Technology Programme: M.Tech

[Transportation Engineering & Planning]

Year :First Year Semester - II

Course: Elective – II [Computer Aided

Analysis & Design]

Course Code:PTRE08

Theory: 4 Hrs/Week Max. University Theory Examination: 50Marks

Max. Time for Theory Exam.: 3 Hrs Continuous Internal Assessment: 50Marks

Objectives

1 To create a database for manufacturing.

2 To increase the productivity of the designer, improve the quality of design

Unit

Number Details Hours

I Introduction of software

Introduction to CAAD and computer graphics: Overview, programming

language, application area, software environment.

12

II Programming language and techniques

Data types, graphics devices, representation of images, transformations,

computer aided drafting Programming language and techniques: overview,

variables & data types, operators, input-output, control structures, functions,

arrays, pointers, strings, data-files, trees, recursion

12

III Database management system (DMBS)

Introduction, Components of DBMS, Data Models, query language, design of

database

Knowledge based expert system: Introduction, Artificial intelligence,

components of expert system,knowledge representation, inference mechanism,

building expert system

12

IV Introduction, Concept of System, models & its purpose, types, approaches 12

V Analytical Tools

Introduction & application of Finite Element Method, Optimization, Genetic

Algorithm, Fuzzy Logic. Application of IT aides for Civil Engineering

Applications like BuildingTechnology and Construction Management

12

Total 60

Resources

Reference Books 1. Caad primer, a general guide to computer aided design and drafting, Vijay

duggal

2. Mathematical Elements of Computer Graphics, D F Rogers & J A Adams,

Tata McGraw-Hill Publishing Company

3. Numerical Techniques in ‘C’, E V Kameshwar, BPB Publication