Ernst Reuter Platz Study

Post on 21-Jul-2016

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An academic study on human behaviour at one of Berlin's busiest roundabouts.

Transcript of Ernst Reuter Platz Study

Ernst-Reuter-Platz StudyTraffic analysis using GIS softwareHuman Movements in Urban and Rural LandscapesUniversity of CopenhagenMatthias Lieb

IntroductionErnst-Reuter-Platz is a big roundabout in Berlin-Charlottenburg and an important traffic node. Because of its multiple lanes, it is more complex to drive on than traditional roundabouts.It reports more yearly traffic accidents than any other place in Berlin.In my study about Ernst-Reuter-Platz, I hope to identify areas that are more dangerous than others. Therefore, I want to look at user volume, speeding and lane changes among other things.The architecture department of the Berlin Institute of Technology is located directly at Ernst-Reuter-Platz and therefore provides an optimal spot for observations.My evaluation of the traffic situation is completely based on video recordings from the top level of the TUB‘s architecture building.Even though these recordings are perspectival and thus rather inappropriate for further GIS analysis, I hope to give ideas and rudiments how this is possible, nevertheless.

Collecting Data

FrameworkFor reference and later representation, I traced the outlines of the roundabout from the first frame of my recordings into a new shapefile and later added some buildings and other structural elements. In a different file, I traced the individual lanes of the roundabout. Those become especially important for my later analysis. In a third shapefile, I saved the five streets that lead to Ernst-Reuter-Platz as points.

TracksIn the next step, I entered 60 individual tracks based on the video recordings. After the framerate was reduced to about 2 frames per second, I determined the position of each car at each frame. This way, every route has roughly 10-30 key points. Afterwards, the points could be linked to create a line shapefile. As additional information, I added the size of the car (divided in five defferent classes) and the color of the car to the attribute table.

Analysis

User volumeThere is very simple data that can be taken directly from the input without further GIS analysis. This includes the total car count. At any given point, there are about 10-20 cars on the roundabout, the maximum in the recorded tracks was 23 at a time.

green 1,7%

yellow 3,3%black 40,0% silver 15,0% blue 10,0% white 10,0% grey 8,3%

red 5,0%

turquoise 3,3%

taxi 3,3%

x2

x46

x2

x10

Track lengthThe entered amount of points per route can easily be converted to the track length. Given one frame equals 0,5 seconds, the average driver spends only 17 seconds in the roundabout. The shortest time measures to be only 4,5 seconds, the longest just above a minute. Seven tracks stayed in the roundabout for less than 10 seconds and eight drivers lasted longer than half a minute.

SpeedDue to the camera angle, this diagram showing the speed of the vehicles at every individual point is not very insightful. Different areas cannot be compared because their speed (as measured through GIS software) appears different depending on their distance and angle towards the point of view. Cars in the front appear to move faster, resulting in more red dots than in the back. However, it shows wheather cars move at the same speed at certain points or if there is a high variance.

high varianceentering and leaving cars create confusion

slowonly three lanes

slowtraffic lights

Lane changesThe police of Berlin names sudden lane changes on the roundabout as one of the main reasons for accidents. With the previously entered lanes (as a line shapefile) and the individual positions from the track, the closest of the lanes in each point can be determined. This represents the lane which the car is on at that moment. Shifting the whole dataset by one feature and comparing the resulting lanes with the previous ones shows the points where a driver changed the lane.

entering the roundaboutlane changes near the entrances are least concerning

many lane changeschange from five to three lanes

Lane precisionLuckily, the Near-function in ArcGIS not only outputs which lane is the closest, but also calculated the exact distance to that lane. The drawn lanes are set in the middle of the street lane, so the distance to it shows how far off a car is at a certain point. After a correction calculation (mostly) erased the issue of perspectival distortion, the value for all points at the roundabout (not outside) are comparable.

orangeLane changes and confusion, unclear guidance

orange/greenindecisive drivers

mostly greenwide lanes and good overview

Origin/DestinationThe OD analysis shows an interesting result. The roundabout at Ernst-Reuter-Platz is an important connection between Bismarckstraße and Straße des 17. Juni. Almost 44% of the total car traffic only serves this connection.On the other hand, the connection to Marchstraße in the North seems rather unimportant; only about 7% of the total traffic comes from there and merely one out of 60 cars destinates there.

0 Marchstraße1 Otto-Suhr-Allee2 Bismarckstraße3 Hardenbergstraße4 Straße des 17. Juni

Origin/DestinationThe comparison of Ins and Outs furthermore shows that the East-West connection is slightly more important in the direction of Straße des 17. Juni. This direction leads towards the city center and therefore supposed to be more frequently travelled in the morning and afternoon than the opposite direction. Even though I do not dispose of the applicable data, I expect the results for measurements in the evening to be the other way around.

HardenbergstraßeIn-Count: 13Out-Count: 12

BismarckstraßeIn-Count: 18

Out-Count: 14

Otto-Suhr-AlleeIn-Count: 11

Out-Count: 7

MarchstraßeIn-Count: 4

Out-Count: 1

Straße des 17. JuniIn-Count: 14Out-Count: 26

Conclusion

Critical partMy analysis showed that this part in the South might be the most dangerous part at Ernst-Reuter-Platz. Also, because this is where five lanes are reduced to only three.

ConclusionAt a certain point, the amount of lanes is suddenly reduced from five to three. This results in people abruptly changing lanes to not accidently exit the roundabout. Better signage is needed here.A possible approach at a solution could also be the use of the space at the outer border at this point to create a fourth lane. The same lane-problem might occur in the evenings on the other side of the roundabout. An additional lane here is imaginable.The strong East-West-connection could be facilitated even more. A tunnel or bridge as an alternative to the highly trafficked roundabout may be a realistic option.Since Marchstraße is very little used at this point, the street width could even be reduced here to create more public space.Ernst-Reuter-Platz continues to be an important traffic node and the rising number of users calls for alterations to keep the place functioning. How decisive those changes ought to be will depend on Ernst-Reuter-Platz‘s social role.