The problem Smart Traffic Signal Analysis solves

In order to facilitate the assessment of present and future traffic demands, for the development of need-based infrastructure accurate information and continuous monitoring of traffic by appropriate methods is necessary. Implementing authorities must therefore ensure that sufficient and appropriate data is available to undertake necessary planning, design, construction and maintenance of the country’s road network, which is aimed at meeting the prevailing traffic flow, future traffic growth and loading without considerable deterioration in the quality of service.
The Traffic data that is actually collected is actually collected in the form of methodological statistics and also various parameters are usually considered when we are actually collecting this traffic data. It is essential to know the magnitude of traffic data required or to be collected, which will then determine its quality and type of vehicle classification to be adopted. Traffic counting falls in two main categories, namely; manual counts and automatic counts. There is no distinct difference between the two methods however, the economic use or selection of an appropriate method of traffic counting is a function of the level of traffic flow and the required data quality. This difference can be deduced from the discussions of the respective methods below, and in the subsequent chapters.
The traffic Flow can be explained in the folloeing way. In order to predict traffic flow volumes that can be expected on the road network during specific periods, cognisance should be taken of the fact
that traffic volumes changes considerably at each point in time. There are
three cyclical variations that are of particular interest:

● Hourly pattern: The way traffic flow characteristics varies through
out the day and night;

● Daily Pattern: The day-to-day variation throughout the week; and
● Monthly and yearly Pattern: The season-to-season variation
throughout the year.

Challenges we ran into

Nothing