Dear Khairnar,

It will be better if you go through World Development Indicators (WDI), and IMF database.

According to my suggestion, it will be better if you take time series micro level data and analysis for macro level.

pl see it.

Conference Paper When to use what data set for your self-driving car algorith...

@ Hemachandra Padhan where are the details of these World Development Indicators (WDI), and IMF database are available?

@ Kundan Meshram, Useful paper that you have mentioned. Is there any dataset based containing traffic parameters (like speed, volume, density, distance) captured at various intervals of a day. Are there any bench marked data sets?

@ Fadi Alhomaidat , Nice technical paper pointing out importance of Vehicular traffic parameters. Keep on suggesting about happening in the area

@ Hemachandra Padhan , is the difference between Macro level Data and Micro level data is as follows ?

Data are collected in many different forms, resulting in different kinds of files. If you're interested in census data, for example, you have a choice of using macrodata or microdata. Macrodata consist of 'headcounts', e.g. the number of people, by age group, sex, and income level, living in a specific geographic area. Microdata files, on the other hand, contain data on individuals, e.g. the Individuals microdata file for the 1991 Census of Canada contains the coded reponses of a sample of individual Canadians to the Census questionnaire.

Kindly share your views..

@ Hemachandra Padhan ,

How to represent time series data related to traffic? Is about Macrodata of traffic parameter. Say videos captured at Traffic signal and need to count number of vehicles at different time instance, flow etc. Repeat this process at different traffic signals across path. Based on recording of traffic parameters graph based model can be trained to identify shortest path between Source - Destination. Thanks