TRAFFIC AND TRANSPORT MODELING
CE 76510
Course Objectives:
The objective of this course is to get insight regarding mathematical models for the estimation of transport demand in the framework of transportation planning. The course is presented to provide the following contemporary concepts:

  • Conceptual knowledge in transportation system
  • Functions of models in transportation system analysis
  • Types of models and their applications
  • Aggregated models for trip generation, trip distribution, modal split and network assignment
  • Estimation of model parameters and calibration
  • Introduction
    (5 hours)
    • Background: Traffic and Transportation Engineering
    • Introduction to Transportation Planning
    • Models and Model Developing Process
    • Characteristics of Transport Problems
    • Issues in Transport Planning and Modeling
  • Mathematical Prerequisites
    (6 hours)
    • Algebra and Functions
    • Functions and Graphs
    • Use of Engineering Statistics in Transportation Problems (Binomial Distribution, Poisson Distribution, Negative Binomial Distribution, Negative Exponential Distribution, Normal Distribution, Regression Analysis)
  • Data and Space
    (4 hours)
    • Basic Sampling Theory
    • Data Collection Methods
    • Network and Zoning System
  • Traffic Forecasting
    (4 hours)
    • Need for Traffic Forecasting
    • Forecast Based on Past Trends
    • Mathematical Models for Traffic Forecasting
  • Transportation Survey
    (6 hours)
    • Introduction and Types of Surveys
    • Home Interview Survey
    • Roadside Interview Survey
    • Inventory of Transport Facilities
    • Inventory of Land-use and Economic Activities
  • Trip Generation Modeling
    (5 hours)
    • Introduction and Definition
    • TripClassification
    • Factors Affecting Trip Generation
    • Trip Generation Analysis: (Growth Factor Modeling, Regression Analysis, Category Analysis)
  • Trip Distribution Modeling
    (5 hours)
    • Introduction and Definition
    • Growth Factor Methods (Uniform, Average Growth Factor, Fratar method, Furness Method)
    • Gravity Models
  • Modal Split Model
    (5 hours)
    • Introduction
    • Factors Affecting Mode Choice
    • Types of Modal Split Models, Logit Model and its Application
  • Trip Assignment
    (5 hours)
    • Basic Concepts
    • Application of Trip Assignment
    • Procedure of Trip Assignment (Minimum Path Technique, Minimum Path with Capacity Restraint, BPR Method, Diversion Curues, User Equilibrium Assignment, System Optimization Assignment, Other Assignment Methods)

Tutorial:

  • Probability Distribution, Regression Analysis
    (2 hours)
  • Sampling Theory, Sample Size Estimation
    (1 hours)
  • Trip Generation Analysis
    (4 hours)
  • Trip Distribution Analysis
    (4 hours)
  • Modal Split Model
    (2 hours)
  • Trip Assignment
    (2 hours)

Practical / Assignment:

  • Review of previous transportation study report (like Kathmandu valley transportation study)
  • Application of geo-informatics in transportation planning
  • Traffic and transport study

References:

  • L.R. Kadiyali, 'Traffic Engineering and Transport Planning", Khanna Publishers, Delhi.
  • C. S. Papacostas & P. D. Prevedouros, &Transportation Engineering & Planning', Third Edition (lndian Reprint. PrenticeHall of lndia, New Delhi.
  • Michael D. Meyer & Eric J. Miller, 'Urban Transportation Planning", McGraw Hill ,2002.
  • S.K. Khanna& C. E. G. Justo, "Highway Engineering", Nem CHAND & BROS; Roorkee.
  • Juan de Dios Ortuzar and Luis C. Willumsen, "Modeling Transport', John Willey & Sons, USA.

Evaluation Scheme:
The questions will cover all the chapters in the syllabus. The evaluation scheme will be as indicated in the table below:

Chapter

Hours

Marks Distribution*

1

5

8

2

6

8

3

4

8

4

4

5

6

8

6

5

12

7

5

12

8

5

12

9

5

12

Total

45

80

*There could be minor deviation in mark distribution.

Sponsered Ads