Autolib Case Study

1474 Words3 Pages

1. [25 pts.] As an expert in your final-report topic, relate the situation at Autolib’ with the salient aspects of your research.

Autolib organization is an Electric car sharing organization which was initiated in Paris to alleviate several factors like traffic congestion, noise, and air pollution and yield people with more transit options. It was said that roughly about 70% of the Parisians do not have cars still there were more than 1 million people driving in the city each day and approximately about 10% of traffic in capital is looking for parking space which resulted in the congestions and emissions. To resolve these issues a logistic company IER, introduced this system which helps the drivers to reduce the costs by 90%, save time and provided easy access with the help of predictive analysis by analyzing all the facts which constitute to the critical benefits to the city of Paris.
To achieve all the major challenges IER faced a lot of Complexity’s where one of the most concerned factor is gathering of data and resolving it as they had many kiosks located throughout several parts of Paris. IER followed the basic principles where all the data collected is transformed into predictive insights to guide in front line decisions and interactions which helped them, hold on customer for long terms and increase its profitability. Therefore IER only gathered limited sets of data of Paris and its surrounding metropolitan areas and suburbs outside Paris where Parisians commute every day. Using Regression models all the data is collected and the relations between all the data is predicted which will help them for long term planning, development and give them clear picture for the expected solution by the year 2023 and help them implement ...

... middle of paper ...

...future developments.
All the data which is being used will be processed based on knowledge base which will help Autolib develop their ideas and help them to achieve their goals. Finally we can say that the Autolib has used all the features of the knowledge base intelligence successfully to achieve the success for their organization and achieve a simple solution to solve complex problems. We can assume that Autolib along with IER has used most of the principles of KBS not only for designing a new solution but also delivered it in the time span of 7 months which has received high recognition among people and help them commute easily and save around 90% of their earnings by subscribing with their organization rather than maintaining a car and providing customers with more options, programs which support the vision of a greener city with less noise and air pollution.

Open Document