Transportation

Predict last-minute give-up rentals to reduce operating loss for WeMo Scooter

Application Area: 

Project Details

Term: 

Fall 2019

Students: 

Will Kuan, Beverly Lin, Adam Yu, PeiPei Chen

University: 

NTHU

WeMo Scooter is an e-scooter sharing company that provides urban transportation solutions by convenient, economic, free and interesting riding experiences. WeMo offers an app as an interface for users to find, reserve, rent, and turn on/off an e-scooter easily.

Forecasting Bike Traffic for Better Traffic Management in Ottawa City

Application Area: 

Project Details

Term: 

2019

Students: 

Rhishabh Garg, Gideon James Draviam, Ujjwal Kejriwal, Mridul Krishn Mishra, Jasmeet Singh, Kuheli Jati

University: 

ISB

Presentation: 

Report: 

Problem Description:- The business problem involves the forecasting of Ottawa city bike traffic to understand the requirement of increasing bike corridors in the city. The traffic accidents in Ottawa is on rise, with a 7-year peak reaching in 2017. As per the Ottawa police, traffic accidents have increased by 23%. Additionally, the registered two-wheeler vehicles went up by 15000 with 5000 additional drivers.

The analysis of data across 6 junctions in Ottawa helped to solve the below two problems-

Forecasting Traffic and Freight Demand in order to decide on Expansion

Application Area: 

Project Details

Term: 

2019

Students: 

Sangyong Lee, Jaspreet Nayyar, Arun Nakkeeran, Rahul Mohapatra, Debayan Deb, Niladri Mukherjee

University: 

ISB

Presentation: 

Report: 

a. Problem Description

Our client, The Australian Airports Association, appointed us for forecasting the passenger and freight traffic for the month of September 2019. Based on our forecast they intend to take the decision of whether to go ahead with investing a budgeted $1.2 Billion on building new infrastructure (including runways, facilities) and recruiting staff. As per their own business estimates, they have set a threshold of a 40% increase in their YoY traffic for both passenger and freight data to decide for a go/no go on the Investment.

Global Temperature Forecasting for Airlines

Application Area: 

Project Details

Term: 

2019

Students: 

Ajeet Singh Yadav, Abhirup Bhabani, Gayatri Mohana Chandran, Jayadeep Pattikutty, Rohan Patra, Sandeep Ankala

University: 

ISB

Presentation: 

Report: 

Problem Statement: Extreme temperatures affect flight schedules and the maintenance of aircraft. One of the major concerns for major airlines around the world is how temperature changes affect the functioning of aircraft ultimately resulting in loss of revenue and increasing costs. As airliners have a maximum or a minimum operating temperature beyond which they would ground flights or reschedule, having information about how the temperatures would be would bring in a lot of value and cost savings.

Forecasting demand for pickups per hour in New York City for Uber

Application Area: 

Project Details

Term: 

2019

Students: 

Aniket Jain, Rachit Nagalia, Nakul Singhal, Ayush Anand, Priyakansha Paul, Prakhar Megotia

University: 

ISB

Presentation: 

Report: 

Uber is a ride-hailing company which was founded in San Francisco, California. Since its inception, it has expanded into multiple other businesses like ride sharing, food delivery etc and according to estimates, Uber has close to 100 million customers and operations in as many as 800 metropolitan areas. Given its ever-expanding scale, Uber continuously manages the gap between supply and demand through surge pricing, incentivising drivers and charging riders. There has, however, been a lot of backlash as surge pricing has gone above 20x at times.

Forecasting the number of aircraft for Qantas Airlines

Application Area: 

Project Details

Term: 

2017

Students: 

Balasubramanyam M N Murthy, Ishaan Saxena, Katyayan Sinha, Maneesh Vivek Kunte, Mohammad Nauman, Siddharth Garg

University: 

ISB

Presentation: 

Report: 

Stakeholder : We are representing Quantas Airlines, one of Australia’s largest airline companies, in this
project.

Business objective : Our task here is to forecast the number of aircraft that Quantas needs to lease in order to satisfy all its passenger and cargo demand.

Inputs : The inputs that we have are the number of passengers and the amount of cargo (freight and mail) that was handled by Australian airports every month for the last 30 years.

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