BaseRide COO and his team got the 1st place in Data Analytics at the Singapore Smart Port Hackathon-2015

Aug. 18, 2015

It was the second time that the Smart Port Hackathon was held in Singapore. Just like it was a year ago it was inspired by the Maritime and Port Authority of Singapore (MPA) and was supported by Singapore Polytechnic an the Urban Prototyping Community. But the difference is in the scale - in 2015 the Port hackathon gathered 200 participants from 40 teams, which is almost twice as more than the 2014 experience showed.

“This year’s challenges go beyond the port and looks at the larger maritime eco-system”, the official post-release says. As a result, this year MPA hackathon had 15 industry and supporting partners (including IBM and DHL), $24,5K as a total of prizes and a whole weekend of time.

“My idea for participation was to know more about how port works and to try hackathon - never tried before”, the head of BaseRide Singapore office, COO of the company Evgeni Makarove xplained in his report. He proposed to work out an analytics platform to reveal port impact by different metrics. 3 more participants liked the idea and joined him.

He proposed a multifunctional service handling data on the motion of trucks attending port. Organizers provided much data to work with - vessels motion, truck motion, delays, and a lot of other (more than 70M of rows upon the whole).

The idea the team pitched was called “Smart Truck” and was founded on wider possibilities of analytics and better communication tools to handle container delivery from/to the port to minimize port impact to the city infrastructure.

The project actually includes 4 functional blocks giving all necessary information on tied-to-port vehicles interaction witht the city. The 1st one is a dynamic heatmap of port impact, showing real-time activity of the port. The 2nd is a map-like summary of the port activity with different color zones depending on how big the impact is. The 3rd block is all graphic and shows two branches - in and out truck port truck activity. The 4th is a tracking map with a flow of notifications about arrival, departure and delay of port vehicles. There’s one more block which is a real-time tracking service for those who are clients of working with port delivery companies.

“I’ve used python to clean the data, CartoDB for visual effects, IBM Bluemix as a cloud and NodeJS as a development framework for web app. All took about 8 hours of work. My colleagues Graeme, Daniel and Abhishek — worked with InvisionApp, Tableau and created the presentation and pitch”, Evgeni later explained.

The Smart Truck was considered the best in Data Analytics. Moreover, the team got the 3rd overall prize.