Visual Analytics to Generate Actionable Insights from Massive Public Transport Data

我们建议开发一个基于公共交通信息与概率网络模型相结合的可视化分析平台。该平台将帮助用户深入了解公共交通服务并优化交通性能。萨斯卡通交通局通过基于智能卡（Go-Pass）的收费系统不断收集数以百万计的乘客信息。这为理解和改进各种交通规划活动创造了一个很好的机会。伦敦金融城感兴趣的是了解不同时间尺度下总客流量的变化、两个城市地点之间的客流量、准时接送的百分比、基于出行时间的路线可靠性等。他们还对一些问题感兴趣，比如人们在两个地点之间旅行的共同路线和相应的乘客人数，以及一条新路线如何影响现有系统。我们计划通过可视化分析方法来解决这些问题，该方法将整合尖端的科学方法来处理时间网络复杂性带来的挑战。我们相信，我们的网络平台将成为一个先锋，将视觉分析与使用历史旅行数据构建的概率网络模型相结合。我们的平台将帮助萨斯卡通运输公司监控运输服务的表现，了解服务变化的影响，从而为经济效益做出贡献。优化的交通规划带来了积极的环境影响，向人们展示了服务绩效，提高了公众满意度。我们相信我们项目的成功将鼓励加拿大其他公共交通系统采用我们的模式和技术，并将极大地帮助城市规划活动。

We propose to develop a visual analytics platform integrated with a probabilistic network model based on public transportation information. The platform will help users to gain insights into the public transit service and optimize the transit performances. Saskatoon Transit is continually collecting millions of ridership information through the smart-card (Go-Pass) based fare system. This creates a great opportunity to understand and improve various transportation planning activities. The City is interested in understanding the change in total ridership in different temporal scales, ridership between two city locations, the percentage of pick-ups that were on time, reliability of routes based on travel time, etc. They are also interested in questions such as common routes that people take to travel between pairs of locations and the corresponding ridership, and how a new route can influence the existing system. We plan to tackle these questions through a visual analytics approach which will integrate cutting edge scientific methods to handle the challenges that come with the complexity of temporal networks. We believe that our web platform will be a pioneering example that integrates visual analytics with a probabilistic network model built using historical trip data.Our platform will help Saskatoon Transit to monitor transit service performances and understand the impact of the service changes, and hence, contribute to the economic benefit. Optimized transit planning brings a positive environmental impact and showcasing the service performance to the people improves public satisfaction. We believe our project's success will encourage many other public transit systems to adapt our models and technologies throughout Canada and will greatly help the cities for planning activities.