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Sem 8 - TRAFFIC AND TRANSPORTATION PLANNING (ELECTIVE – III)


MG University B.Tech Syllabus S8 Civil
Module 1
Statistical methods for Traffic Engineering: definition and probability – probability distribution – Poisson, Binomial and normal distribution. Applications in traffic engineering: sampling theory and significance testing – linear regression and correlation – simple problems.
Module 2
Systems approach to transport planning: stages in transport planning – trip generation – introduction and definitions – factors affecting trip generations and attraction – Multiple linear regression analysis – category analysis – Modal split analysis.
Module 3
Trip Distribution: growth factor methods – synthetic methods. Trip Assignment: purpose, general principle – assignment techniques.
Module 4
Parking: Parking problems – desirable parking space standards for different land use -common methods of on- street parking, off-street parking facilities, parking surveys.
Street illumination: Definition of common terms – types and location of lanterns on straight roads and junctions avoiding glare.
Module 5
Transportation Economics: Road user cost-Motor Vehicle operation cost – fixed and variable costs – road user benefits – principles of economics – analysis through annual cost – rate of return and benefit cost ratio methods – worked out problems.
References
Khadiyali L.R. Traffic Engineering and Transport planning, Khanna Tech Publishers
Hutchinson “Principles of Urban transport systems Planning
Martin & Whol Traffic system Analysis for Engineers
Donald Drew Traffic Flow Theory