1 00:00:00,000 --> 00:00:02,750 (dramatic music) 2 00:00:07,560 --> 00:00:09,690 - [Narrator] More than 95% of adults 3 00:00:09,690 --> 00:00:12,000 in the US own a cell phone. 4 00:00:12,000 --> 00:00:15,120 Of those, over 80% use a smartphone. 5 00:00:15,120 --> 00:00:18,270 With this portable technology literally in hand, 6 00:00:18,270 --> 00:00:20,610 information about mobility patterns 7 00:00:20,610 --> 00:00:22,380 can be collected much faster 8 00:00:22,380 --> 00:00:23,823 than current methods. 9 00:00:24,690 --> 00:00:27,030 The Center for Transportation Research 10 00:00:27,030 --> 00:00:30,420 and the Texas Department of Transportation investigated 11 00:00:30,420 --> 00:00:33,240 how to apply this data to maintain good levels 12 00:00:33,240 --> 00:00:37,080 of service throughout the state's transportation system. 13 00:00:37,080 --> 00:00:38,794 - This project is using devices 14 00:00:38,794 --> 00:00:42,180 that we all now have access to, namely smartphones. 15 00:00:42,180 --> 00:00:44,730 It's collecting a large amount of data passively 16 00:00:44,730 --> 00:00:46,299 almost without us being aware, 17 00:00:46,299 --> 00:00:50,670 and it's tracking general origin, destination, 18 00:00:50,670 --> 00:00:52,710 travel patterns of individuals. 19 00:00:52,710 --> 00:00:54,570 And our traditional analysis tools 20 00:00:54,570 --> 00:00:56,430 for analyzing the movement of people 21 00:00:56,430 --> 00:00:58,170 in goods were developed largely 22 00:00:58,170 --> 00:01:00,210 prior to these new technologies. 23 00:01:00,210 --> 00:01:02,190 So this project was needed to explore 24 00:01:02,190 --> 00:01:04,470 how we could best leverage the data provided 25 00:01:04,470 --> 00:01:05,970 by these new technologies 26 00:01:05,970 --> 00:01:07,680 in our work in transportation planning. 27 00:01:07,680 --> 00:01:10,395 - So this project was to look at what's out there, 28 00:01:10,395 --> 00:01:12,690 kind of sift through everything 29 00:01:12,690 --> 00:01:15,330 and begin to categorize it and figure out, 30 00:01:15,330 --> 00:01:17,580 okay what's the current status of today? 31 00:01:17,580 --> 00:01:18,413 Can it be used? 32 00:01:18,413 --> 00:01:20,506 And how can it be fused with the current processes 33 00:01:20,506 --> 00:01:23,400 and the current traditional data sources? 34 00:01:23,400 --> 00:01:24,870 - Well, this project will enable us 35 00:01:24,870 --> 00:01:25,950 to better understand 36 00:01:25,950 --> 00:01:28,881 where we need to incorporate this ICT data 37 00:01:28,881 --> 00:01:30,510 and where we can augment 38 00:01:30,510 --> 00:01:32,370 our traditional data collection efforts 39 00:01:32,370 --> 00:01:35,190 with these new passive data sources. 40 00:01:35,190 --> 00:01:36,720 It also provides a mechanism 41 00:01:36,720 --> 00:01:39,960 for us to select which data sources are the most promising. 42 00:01:39,960 --> 00:01:41,730 And the fact is we need to consider 43 00:01:41,730 --> 00:01:43,140 when trying to incorporate them 44 00:01:43,140 --> 00:01:45,150 into our modeling processes. 45 00:01:45,150 --> 00:01:46,320 - It will cost time 46 00:01:46,320 --> 00:01:49,530 and money to process through that big, big, big, big data. 47 00:01:49,530 --> 00:01:52,533 So our kind of main conclusion was, 48 00:01:53,550 --> 00:01:54,960 yes, it'll be important in the future, 49 00:01:54,960 --> 00:01:57,090 and yes, TxDOT needs to kind of be aware 50 00:01:57,090 --> 00:02:00,600 of it and have it at the back burner 51 00:02:00,600 --> 00:02:01,740 and start to introduce themselves, 52 00:02:01,740 --> 00:02:04,680 but it's not gonna replace the current processes 53 00:02:04,680 --> 00:02:07,590 and collection methods that are being used today. 54 00:02:07,590 --> 00:02:10,350 - Our ultimate goal is to better understand person 55 00:02:10,350 --> 00:02:11,280 and vehicle movement 56 00:02:11,280 --> 00:02:13,800 so that we can calibrate our travel demand models 57 00:02:13,800 --> 00:02:16,020 to reflect current travel patterns, 58 00:02:16,020 --> 00:02:18,450 which can then be used to forecast impacts 59 00:02:18,450 --> 00:02:21,600 to various demographic, technological 60 00:02:21,600 --> 00:02:23,880 and transportation investment scenarios, 61 00:02:23,880 --> 00:02:25,650 so that we can continue our goal 62 00:02:25,650 --> 00:02:28,740 in providing a safe and efficient transportation system 63 00:02:28,740 --> 00:02:30,060 and connect you to Texas. 64 00:02:30,060 --> 00:02:31,260 - [Narrator] For more information 65 00:02:31,260 --> 00:02:32,970 and to find the publications 66 00:02:32,970 --> 00:02:36,810 for this project, please visit the TX Research Library 67 00:02:36,810 --> 00:02:38,493 at the link shown below.