1 00:00:00,604 --> 00:00:01,521 (whoosh) 2 00:00:01,521 --> 00:00:04,688 (single note playing) 3 00:00:09,210 --> 00:00:10,590 - [Narrator] Including interstates, 4 00:00:10,590 --> 00:00:14,700 Texas has more than 80,000 miles of roadways statewide. 5 00:00:14,700 --> 00:00:17,070 The most of any state in the nation. 6 00:00:17,070 --> 00:00:20,670 Keeping tabs of needed repairs can be time consuming. 7 00:00:20,670 --> 00:00:22,770 The Texas Department of Transportation, 8 00:00:22,770 --> 00:00:25,890 with help from the Texas A&M Transportation Institute 9 00:00:25,890 --> 00:00:28,770 is applying proven technologies like LIDAR 10 00:00:28,770 --> 00:00:31,890 in new ways to facilitate maintenance activities, 11 00:00:31,890 --> 00:00:34,530 including reducing assessment time. 12 00:00:34,530 --> 00:00:36,810 - LIDAR, mobile LIDAR in particular, 13 00:00:36,810 --> 00:00:39,600 is a tool that allows us to collect all 14 00:00:39,600 --> 00:00:42,240 of this geometric data at highway speeds, 15 00:00:42,240 --> 00:00:43,770 so we can throw it on a truck, 16 00:00:43,770 --> 00:00:45,060 we can drive at highway speeds, 17 00:00:45,060 --> 00:00:46,980 we can collect all of this geometric data 18 00:00:46,980 --> 00:00:49,230 and then we can use that data to look 19 00:00:49,230 --> 00:00:53,550 at how surface drainage will flow across the roadway. 20 00:00:53,550 --> 00:00:55,920 - We had a stretcher roadway that had a lot of run off 21 00:00:55,920 --> 00:00:58,680 the roads, and we were observing it, 22 00:00:58,680 --> 00:01:00,948 we were looking at it in the rain, 23 00:01:00,948 --> 00:01:05,730 but we were concerned that we were missing something 24 00:01:05,730 --> 00:01:08,507 that there was something there based off of 25 00:01:08,507 --> 00:01:11,400 the wet surface crash reduction program 26 00:01:11,400 --> 00:01:13,860 and it being a repeat location. 27 00:01:13,860 --> 00:01:16,161 - The main thing we were trying to accomplish in particular 28 00:01:16,161 --> 00:01:19,080 for the Atlanta district, which is where we started out 29 00:01:19,080 --> 00:01:22,568 was to identify potentially critical drainage basins 30 00:01:22,568 --> 00:01:24,900 on some of their roadways. 31 00:01:24,900 --> 00:01:27,600 So, where is it on their network 32 00:01:27,600 --> 00:01:30,141 that the geometry might be contributing 33 00:01:30,141 --> 00:01:32,430 to hydroplaning potential. 34 00:01:32,430 --> 00:01:34,950 And so to accomplish it, we deployed our mobile LIDAR. 35 00:01:34,950 --> 00:01:35,783 We went up there, 36 00:01:35,783 --> 00:01:37,458 they told us the roads that they were interested in, 37 00:01:37,458 --> 00:01:40,338 and we did kind of a mass network scan, 38 00:01:40,338 --> 00:01:42,087 collected a lot of data, 39 00:01:42,087 --> 00:01:45,203 came back in, processed it, looked at all of it, 40 00:01:45,203 --> 00:01:47,433 ran it through our algorithms that we had developed 41 00:01:47,433 --> 00:01:50,092 and then identified the drainage basins 42 00:01:50,092 --> 00:01:52,860 that we thought the district should look 43 00:01:52,860 --> 00:01:55,080 at doing something about on their network. 44 00:01:55,080 --> 00:01:56,970 - So here he had all the LIDAR data, 45 00:01:56,970 --> 00:01:59,910 he was running the algorithms and trying 46 00:01:59,910 --> 00:02:02,945 to find those locations that we both have incidents 47 00:02:02,945 --> 00:02:07,945 and there seem to be issues with water, possibly geometric 48 00:02:07,980 --> 00:02:10,860 possibly rutting things to that effect, 49 00:02:10,860 --> 00:02:15,773 and all of that together, the culmination of several items 50 00:02:15,773 --> 00:02:19,470 making a location that was considered 51 00:02:19,470 --> 00:02:24,120 a location that was prone or possible location. 52 00:02:24,120 --> 00:02:26,400 - Because we have this technology 53 00:02:26,400 --> 00:02:30,215 it allows us to go out there and identify these basins, 54 00:02:30,215 --> 00:02:33,840 and then work with Tex DoT to hone that solution 55 00:02:33,840 --> 00:02:36,960 and say, oh, the real problem exists at this point, 56 00:02:36,960 --> 00:02:39,090 and this is why that problem exists. 57 00:02:39,090 --> 00:02:41,636 Here are some potential solutions that you can deploy, 58 00:02:41,636 --> 00:02:45,300 and then it allows Tex DoT to budget appropriately 59 00:02:45,300 --> 00:02:46,320 and manage their budgets. 60 00:02:46,320 --> 00:02:48,518 It might be that you don't need to repave 61 00:02:48,518 --> 00:02:51,210 three or four miles of the roadway 62 00:02:51,210 --> 00:02:55,260 if you can just work in maybe two or three tenths of a mile. 63 00:02:55,260 --> 00:02:59,155 - This could potentially provide a bird's eye view 64 00:02:59,155 --> 00:03:02,520 of locations that are questionable. 65 00:03:02,520 --> 00:03:04,110 To find those locations, 66 00:03:04,110 --> 00:03:06,323 that's what this research is about. 67 00:03:06,323 --> 00:03:09,963 That's the locations that may need improvement 68 00:03:09,963 --> 00:03:13,332 that we have a chance to make a difference 69 00:03:13,332 --> 00:03:15,840 in safety for the traveling public. 70 00:03:15,840 --> 00:03:18,240 - Wet weather crashes are a very real issue 71 00:03:18,240 --> 00:03:19,792 for every user out there, 72 00:03:19,792 --> 00:03:23,070 and there are things that the managing agency 73 00:03:23,070 --> 00:03:25,770 can do to mitigate wet weather crashes, 74 00:03:25,770 --> 00:03:26,940 and we can give you the data 75 00:03:26,940 --> 00:03:28,620 that can help make those decisions 76 00:03:28,620 --> 00:03:30,705 on where to go work and what to do. 77 00:03:30,705 --> 00:03:31,939 - [Narrator] For more information 78 00:03:31,939 --> 00:03:34,545 and to find the publications for this project, 79 00:03:34,545 --> 00:03:37,610 please visit the Tex DoT Research Library 80 00:03:37,610 --> 00:03:39,363 at the link show below.