Urban Computing with Taxicabs Yu Zheng Microsoft Research Asia
Motivation Urban computing for Urban planning Developing countries: Urbanization and city planning Developed countries: Urban reconstruction, city renewal, and sub- urbanization Questions What’s wrong with the city configurations? Does a carried out urban planning really works?
GPS-equipped taxis are mobile sensors
RankCitiesCountry/RegionTaxicabs 1The Mexico cityMexico103,000+ 2BangkokThailand80,000+ 3SeoulSouth Korea73,000+ 4BeijingChina67,000 5TokyoJapan60,000 6ShanghaiChina50,000+ 7New York CityUSA48,300 8buenos airesArgentina45,000 9MoscowRussia40,000 (1000,000) 10St.PaulBrazil37,000 11TianjinChina35,000 12TaipeiTaiwan31, New Taipei CityTaiwan23,500 14Singapore 23,000 15OsakaJapan20,000 16Hong KongChina18, WuhanChina18,000 18LondonEngland17,000 19HarbinChina17,000 20GuangzhouChina16, ShenyangChina15, ParisFrance15,000
What We Do Detect flawed urban planning using taxi trajectories Evaluate the carried out city configurations Reminder city planners with the unrecognized problems Challenges City-wide traffic modeling Embodying flaws and reveal their relationship
Methodology Partition a city into regions with major roads
Methodology Partition the trajectory dataset into some portions TimeWork dayRest day Slot 17:00am-10:30am9:00am-12:30pm Slot 210:30am-4:00pm12:30pm-7:30pm Slot 34:00pm-7:30pm7:30pm-9:00am Slot 47:30pm-7:00am WorkdayRest day
Methodology Project taxi trajectories onto these regions Building a region graph for each time slot
Methodology
Formulate skyline graphs Mining frequent patterns To avoid false alert Deep understanding
Evaluations Datasets Number of taxis29,28630,121 Effective days89116 Number of points Total679M1,730M Per taxi/day Distance (KM) Total310M600M Per taxi/day Average sampling rate (s)10074 Ave. dist. between two points (m)457349
WorkdaysRest Days
Some flaws occurring in 2009 disappeared Example 1: Two roads launched in late 2009 Results
Some flaws occurring in 2009 still exist in 2010 Example 1: Subway line 14 and 15 Results
Conclusion Video
Thanks! Yu Zheng The Released Dataset: T-Drive taxi trajectories A demo in the demo session on Sept. 20.