Transportation

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.

Lowering society cost of car accidents by predicting high-risk drivers

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Vannessa Peng, Davin Tsai, Shu-Ming Yeh

University: 

NTHU

Presentation: 

Report: 

Traffic accident happened every day. In order to decrease the number of traffic accident and the losses caused by the traffic accident. Our government have a lot of policy, but these policy are focus on all the citizen. But now we think the policy have to focus on the certain group, the group who have high rate in traffic accident, to let the policy have more Significant effect.

Predicting Customer Cancellation of Cab Bookings for YourCabs.com

Application Area: 

Project Details

Term: 

2013

Students: 

Anupama Atmuri, Garrett Butler, Leena Bhai, Priyanka Paul, Rohith Lokareddy, Shweta Agarwal

University: 

ISB

Presentation: 

Report: 

Our Client, YourCabs is a Bangalore-­‐based technology platform that aggregates fleet owners and vehicles, in the car rental space. The company, founded by Rajath Kedilaya in 2011 has managed to create an intelligent network that manages real-­‐time supply and demand of cabs.

Cab travel time prediction

Application Area: 

Project Details

Term: 

2013

Students: 

Bhushan Khandelwal, Mahabaleshwar Bhat, Mayank Gupta, Shikhar Angra, Sujay Koparde

University: 

ISB

Presentation: 

Report: 

Idea: Our project involves developing a model for predicting the travel time for a particular cab booking.
Such a model holds a lot of value for the consumers as well as the cab company. Many times customers
inquire the booking agents about the time it will take to travel from their source to destination but the

Share and Reach Anywhere: Providing shared cab services

Application Area: 

Project Details

Term: 

2013

Students: 

Arpit Gupta, Mandeep Sandhu, Manoo Kapoor, Rishiraj Shrawat, Udit Lekhi

University: 

ISB

Presentation: 

Report: 

‘Cab sharing’ is a well known concept of public transport service that can enable people to use taxi services at low cost. Primarily this service is targeted to achieve two broad goals. One is availability of an economically viable cab service option to areas which are poorly serviced by public transport wherein the only other alternative would be a high cost cab service. Shared cabs could cater to those commuters who travel frequently on highly congested routes and often face difficulties because of unavailability of good transport facility.

Preparing for future: Forecasting cab booking trends for different booking methods

Application Area: 

Project Details

Term: 

2013

Students: 

Nikhil Gupta, Deepti Singh, Shriya Shekhar, Piyush Gupta, Piyush Singh

University: 

ISB

Presentation: 

Report: 

Our client Yourcabs.com operates a platform to efficiently connect consumers in need of transport, with vendors in need of increased occupancy. Customers can make bookings through 3 possible methods- Online, Mobile website and phone. While traditionally most of the bookings have been coming from the phone method, the other 2 methods are fast catching up in terms of no of bookings being made. To maintain infrastructure to cater to a certain demand level in any of the booking methods, certain fixed and variable cost is incurred by our client.

Identifying cab users' individual usage patterns for an effective promotion strategy

Application Area: 

Project Details

Term: 

2013

Students: 

Sheel Jaitley, Sunny Sapra, Amit Phatak, Biswajit Pattnaik, Sourav Paul

University: 

ISB

Presentation: 

Report: 

The report describes an analytics approach towards designing better promotions for increasing the revenues of yourcabs.com. The two key questions answered by this study are
1. When to launch a promotional campaign
2. Which customers to target to have the maximum ROI on the promotional campaign

The answer the above question two set of forecasting models have been built

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