Transportation

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.

Adelaide airport – improving load factor

Application Area: 

Project Details

Term: 

2017

Students: 

Dinesh Lulla, Simarjit Singh, Shubhankar Bivalkar, Lata Jha, Vibin Thomas, Lakshika Kothari

University: 

ISB

Presentation: 

Report: 

Business Objective
Improve the Passenger Load Factor of Australian Domestic Airline to 82.5% by arriving at an optimum number of seats from Adelaide to six cities - Brisbane, Canberra, Gold Coast, Melbourne, Perth and Sydney for time period September 2016- September 2017.

Passenger Load Factor – Passenger load factor measures the capacity utilization for airlines. It signifies the efficiency with which an airline fills seats and generates revenues. 80% of passenger load factor is considered as standard in the domestic airline industry.

Improving Road Safety by Profiling Different Accident Type

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Angela Hung, Aylada Khunvaranont, Celia Chen, Dobby Yang, Mahsa Ashouri

University: 

NTHU

Presentation: 

Report: 

Business Problem
We all are road users and everyday we see the news about car accidents, which leads us to the concern of what can Transportation Department of Taipei City Government do to decrease the number of the accidents. Therefore, our project focuses on how to identify

Forecast Monthly Demand of Automobiles to increase sales for automotive company

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Fang-I Liao, Tzu Yi Lin, Po-Wei Huang , Louie Lu

University: 

NTHU

Presentation: 

Report: 

Our client is an automotive corporation (e.g. Suzuki) who sell automobiles and motorcycles in Taiwan. Our forecasting goal is to forecast the demand of automobile in 2015 of four of Taiwan’s largest cities: Taipei, New Taipei, Taichung, and Kaohsiung. The forecast results will be used to set promotional plans among regions and seasons, and measure amount of automobile to import in 2015. Potential business benefits include reducing costs (inventory costs and advertisement at lower sales seasons), and improving marketing strategies (targeting the right seasons).

Forecasting demand for trailers for efficient use and customized service

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Yu-Ning Kao, Jou-yu Huang, Ting-Ju Wang, Chin Chang

University: 

NTHU

Presentation: 

Report: 

In this project, our data source is the stakeholders who are Jouyu’s family business. It is kind of transport industry. The business model is to transport customers’ excavators to the destination they require through the trailers whom the stakeholders own. However, since the stakeholders are used to manually record the trips that customers require, they predict the next demand only based on their experience. Without the assistant of technology, stakeholders are unable to anticipate the demand of trailers in the future accurately.

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