In todays increasing world, it is very important to have good hailing services like Ola, Uber, and Rapido as it is very essential for our daily transportation. Users often face difficulties in choosing the most appropriate and efficient ride that would lead to both cost-effective and would take us to our destination in less time. This project provides you with the web application that helps you to select the most beneficial ride for you by providing users with the fare comparison between Ola, Uber, Rapido for the destination entered by the user. The backend is use to fetch the data, providing users with the fare comparison for the ride and finally providing with the best option using Python. This research paper also addresses the problem and challenges faced in accessing the data using APIs, Android Studios emulator, Appium and location comparison. Thus, the aim of the project is to provide transparency to the users in ride-hailing services and increase efficiency and provide users with better experience.
In recent times, the services of the lifts availabl e to us has made our transportation more accessibl e by offering stronger with several platforms like Ola, Rapido, Uber. These lifts have increased the ease of trave l l i ng amongst druggies in India with great vacuity. still, these av ailable platform s also produce a chaos depending upon the factors like business, time of travellin g , and also the position. therefore, druggies frequently face difficulties in opting the correct lift option for also that would be more effective for them. platform having their own fares therefore, for comparing the prices of all of these available platforms, the druggies need to manually check each and every platform for the chow comparison and also elect the effective path. But this is really veritably excited and time consuming for the druggies. This inefficiency highlights the need to have a platform for the druggies where they can check how comparison and elect the lift according to their preferen ces. This design aims at erecting a web operation that would give druggies with the price comparison of Ola, Uber and Rapido and also event ually furnishing them with the most suitable option to reach their destination after comparing all the factors. This design provides with real-time data from all the three platforms for the entered volley and drop-off position and also side by side comparing the data. This paper also includes the specialized frame where all the methodology is mentione d in detail.
• To produce a web operation that provides the users with the real-time fares of Ola, Uber and Rapido. • To produce a data for Ola, Rapido and Uber.
• The data of Ola is taken from their system.
• The data of Uber is taken randomly to test the system. • The data of Rapido is taken from the Bangalore report. By developing this system, we intend to offer a dependable tool that would help druggies in saving their time and cost at the same time which will enhance transluc e ncy amongst druggies.
Challenges [1] The paper discusses the development of the OpenStreetCab which is a mobile application that compares the prices between Uber and (Yellow Cabs in New York and Black Cab in London).This app uses the API to compare the fares of these different platform and also has a enquiry section on their app that help them to take feedback from the users. About 13,000 users installed the app and more than 29000 queries were submitted in the app. After comparing the fares of t he platform, it was found t hat the U b e r was expensive than the Yellow Cabs but cheaper than the Black cabs. According to the description, the app shows the relatable prices but the study shows that the app is more efficient in finding timeefficient routes and give options accordingly. This paper showed only 29 journeys considering only two cities for comparison between fares and time
The paper mentions the need of privacy for the users when they ride in the cabs availabl e . The ratings given to the driver increases the enhancement for the ride. The rides like Uber and Didi uses kind of cryptographic methods to protect the identity of the driver so that more and more users start trusting on the ride platforms and start taking rides. While selecting the driver, users are able to check the ratings given to the driver and then choose if they want to go with a particular driver.
The ride services in India have been so competent that each platform of transportation is coming up with some new strategies to make their profit. This research paper tells us about different types of strategies that help them to increase their profit. Uber and Ola are competing with each other when it comes to the four-wheeler rides. Rapido has grown a lot as compared to the Ola and Uber when it comes to two-wheelers. The users decide their rides on the i r priorities of av ailability, time req u ired to reach their destination and most importantly, the fare comparison.
A. Flowchart Start → Environment Setup → App Installation → Data Extraction → Uber → Ola and Rapido (Automation-based) → End This project provides you with the web application that helps you to select the most benef icial ride for you by providing users with the real-time fare comparison between Ola, Uber, Rapido for the destination entered by the user. The backend is use to fetch the data and publicly available APIs, providing users with the real-time fare comparison for the ride and finally providing with the best option using Python. For Ola, we have used their general information of prices that is availabl e on their app. For Uber, we have taken a random data to check our system whereas for Rapido, we have considered the Bangalore provided data. This design provides with real-time data from all the three platforms for the entered volley and drop-off position and also side by side comparing the data.
Collection of Data Ola: The data is collected according to the policy of ola. We are following the same method of decid
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