Co-mzo

Predict and Analyze For Congestion

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Landing
Landing
%e3%82%b9%e3%82%af%e3%83%aa%e3%83%bc%e3%83%b3%e3%82%b7%e3%83%a7%e3%83%83%e3%83%88_2016-07-01_0.21.14
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Technologies Used

VueJs

Project Team

SEIYA IZUMI
Crawler_Ojisan
Developer

This team is looking for

Product Manager Investor
REQUEST TO JOIN

About

Co-mzo is an application to predict town congestion and crowd. This calculate congestion degree by using collected event information by crawler unit, and visualize congestion as heat-map. And this also provide line graph for us to able to compare to past congestion data. (In this Hackathon, we made only for Tokyo Area) ************[Why we develop] (1) We eagerly desire that congestion prediction become possible. Please thinking about the time when you are in heavy congestion in your holiday. It will destroy your happy holiday plan, it will make disgusting feeling. We had so many that kind of experience!! We need solution to avoid that congestion. That is why we developed this app. (2) We want to make a mechanism for easing congestion by making a synergy with Rideshare service just like Uber. If the drivers use this app, they will go to congestion area for earn more money, then the area's people is less. In other words if the drivers use this app more and more, they can earn money more and more, and congestion is less and less. This app can make this good mechanism. ************[Tech] Crawler(Selenium, Python), Calculate congestion(Python, D3.js), Backend Server(Node.js, MongoDB), Frontend(Vue.js, ES6, jspm, googleMapAPI, C3.js) ******[Tech Focus] (1) challenge new technology 'jspm'. (2) Calculation logic for congestion degree. We convert degree to logarithmic scale for inspiring heat-map. Human's cognition is logarithmic. ************[Last] We made this app to solve urban congestion problem. And we want to continue develop this app. That's why we need hackcellerator program. source code is here https://github.com/IzumiSy/comzo

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