Presentation is loading. Please wait.

Presentation is loading. Please wait.

Los Angeles County Traffic Analysis

Similar presentations


Presentation on theme: "Los Angeles County Traffic Analysis"— Presentation transcript:

1 Los Angeles County Traffic Analysis
Geog 176c - Project Proposal Project Advisor: Kirk Goldsberry Group Members: Tyler Brundage Cara Moore Art Eisberg David Fleishman AJ Block

2 Traffic

3 Objectives Create a traffic atlas using empirical data
Supplement perceptions of LA traffic

4 Objectives Depict traffic trends in LA using a GIS
Highlight problem areas and time periods Create a straightforward representation for the general public

5 Final Product

6 Final Product

7 Methods Outsourced MatLab scripting Calculated Average Velocity with MatLab Imported .txt files into Excel

8 Methods Imported Excel files to Access Caluclated TTI in Excel
Used Common Key to Link Velocities by Sensor ID number Caluclated TTI in Excel (Average Freeflow Velocity/ Average Velocity at Certain Time) Exported file as a .dbf

9 Travel Time Index In layman’s terms, the TTI indicates how much longer a trip would take than it would in free-flow conditions If TTI = 1, the trip would take the same amount of time as free flow traffic If TTI = 2, the trip would take twice as long

10 Calculated Average TTI for each Day/Time to make graphs
Methods Calculated Average TTI for each Day/Time to make graphs Merged Highways Joined .dbf files to Highways

11 Methods Decided on Class Breaks/ Color Schemes Created Maps in ArcMap
Created Flash File & Published Web Page

12 Problems Gaps in data Data Spread Lack of data
Excel prior to 2007 can only have 256 columns Lack of data Only used January

13 Problems Technical difficulties -99s= non functioning sensors
TTI may not be intuitive

14 Problems Large amount of data 1368 Rows 205 Maps
280,440 lines in Flash 10 minutes to open Flash File 1 ½ hour plus to export file

15 Interpreting Results There appears to be a definite trend of traffic throughout the day Rush Hour Northbound/Southbound & Eastbound/Westbound trends However, there also appears to be many anomalies Likely due to the spread of data used

16 Graph

17 Background Research * Y-axis indicates the fraction of sensors indicating congestion From

18 Graph

19 Graph 19

20 Tuesday Standard Deviation
20

21 Tuesday Standard Deviation
21

22 Tuesday Standard Deviation
22

23 Interpreting Results We have yet to test the efficiency of the final map Therefore, we do not know how intuitive the final product is

24 Conclusions While a general trend associated with time and day can be seen, no conclusions should be made without a more in depth analysis using a larger data spread

25 Future Use more data to provide more conclusive results More days
More times (e.g. every 5 minutes)

26 Future Test final product with general public
Based on public input, edit map to make it more user friendly

27 Future Develop Algorithm using TTI so services like MapQuest could provide time estimations from point A to point B


Download ppt "Los Angeles County Traffic Analysis"

Similar presentations


Ads by Google