Analysis of Auto Trafic

QUANTITATIVE METHODS – I

PROJECT : ANALYSIS OF AUTO TRAFFIC TO IIM-KOZHIKODE CAMPUS

GROUP : 26

1. MONISHA MEHROTRA - 26

2. USHA BHAKUNI - 57

3. PARTH LIMBACHIYA - 89

4. TARA RAJAGOPALAN - 120

5. M.ROHIT - 151

6. SULAGNA DATTA - 183

INTRODUCTION :

This project was undertaken to document and analyze the number of autos entering the IIM Kozhikode campus. We felt it was important to undertake this project because, it’s a very pertinent and relevant issue for the student community of IIMK.

Students often need to go out for various reasons, that include groceries from Reliance Fresh, Beauty parlour visits for girls, Barber visits for boys, etc. It is at these times that Autos become extremely important for transport. We took samples of data from the main gate, of entries of vehicles for 13 days. Total number of data points is 995, which we believe will be an adequate representation of average vehicle inflow at any given time of the year.

We then proceeded to analyse the distribution of these autos, day-wise, destination-wise, hour-wise, etc. We also did Regression Analysis, Hypothesis testing on our sample of data. Various factors were analyzed and inferences were drawn.

ANALYSIS :

Given below is a snapshot of our sample data :

Data till 8th August was compiled in the afore-mentioned manner.

The following is the convention that we have followed during our analysis and in our graphs :

We then got some interesting observations from our data analysis.

This is the snapshot of distribution of vehicles destination-wise:

Sorting the above data, we got the following average number of vehicles on Weekdays and Weekends :

Observation:

The average inflow of vehicles on Weekends is higher than that of Weekdays.

Inference :

Due to no classes on Weekends, Travelling by students increases.

I. Auto volume by Destination : | |

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