liftconference2011.8.18---Frédéric Mazzella:如何共用可視化的汽車平台

liftconference2011.8.18---Frédéric Mazzella:如何共用可視化的汽車平台
Frédéric Mazzella "How car-pooling can help forecast car traffic"
Carpooling consists in sharing a car on a similar trip. Drivers publish their available seats with a price, and passengers buy seats for home-to-work carpooling (on a day-to-day basis for a distance of around 20km) and long-distance carpooling (one-off trips or week-end round-trips for distances of 300km in average). The speech focuses on how to forecast car traffic based on car-pooling platforms with visual representations
弗雷德里克Mazzella“如何共用汽車可以幫助預測交通車”
拼車由一輛汽車上，分享了類似的行程。驅動器可提供座位數與公佈他們的價格，乘客購買座位家庭到工作拼車（在日常的日常基礎距離約20公里）和長途拼車（一次性旅行或週末往返的距離的300公里平均）。講話的重點是如何預測小汽車交通的基礎上共用汽車平台的可視化表示