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
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).
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.
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.
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.
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
‘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.
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.
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