Student Team: No
Dirk Streebs Visual Movement Explorer
Custom Java tool with neo4j graph database
Approximately how many
hours were spent working on this submission in total?
80
May we post your submission
in the Visual Analytics Benchmark Repository after VAST Challenge 2017 is
complete? Yes
Video
Questions
1 – “Patterns
of Life” analyses depend on recognizing repeating patterns of activities by
individuals or groups. Describe up to six daily patterns of life by vehicles
traveling through and within the park. Characterize the patterns by describing
the kinds of vehicles participating, their spatial activities (where do they
go?), their temporal activities (when does the pattern happen?), and provide a
hypothesis of what the pattern represents (for example, if I drove to a coffee
house every morning, but did not stay for long, you might hypothesize I’m
getting coffee “to-go”). Please limit your answer to six images and 500 words.
1.
Day Tourists
See figure above: Day Tourists are a common group of visitors. They arrive in
the park in the morning, stop at a camp ground and leave the same day. The
image shows visitors as columns where colors represent the last type of gate
the passed as assigned on the given park map. Columns
are ordered by the time of the day on their arrival. In the left part you can
see that the first Day Tourists arrive earlier than overnight tourists do.
Additionally, they stay longer in the park the earlier they arrive (see right
part without overnight tourists). In the night, no vehicles stop and just
transit the preserver.
2.
See figure above: Overnight Tourists
are another large group. They do not arrive at night or in the early morning.
Some of the 2- and 3-axle trucks appear to be caravans. Usually they do not
change campgrounds and stay for several nights.
3.
Daily Ranger Patrol Patterns
See figure above: Rangers patrol the preserve and ranger stops on a daily
basis. We identified 7 common route patterns for their patrols using automated
sequential pattern mining. The rest of the ranger trips consists of trips to
single dedicated places like campgrounds or entrances and back. The rangers use
these patrol routes throughout the whole year with no noticeable seasonal
changes, thus we consider these routes daily patterns.
4.
General Daily Traffic
See figure above: Average daily traffic patterns can be distinguished fairly
easily: Due to overnight campers, a steady population of vehicles is present at
all times, with slight increases during daytime with day tourists. Heavy truck
traffic is transit based and goes in during night and day. The same applies to
bus traffic. A small peak in the early morning hours for large buses lets us
assume that we see transiting long-haul traffic. Ranger business hours are
obvious from the graph, showing active ranger trips between 6 in the morning
until 2 in the morning.
5.
Transit patterns
See figure above: These 10 transit
patterns can be found in the data and make around 45% (8050 trips) excluding
rangers. All of the transit patterns go from one of the entrances to the other.
The trips are sorted by their frequency (descending order).
There are some patterns in the data where cars enter and leave the park at the
same entrance (see 3.1. Dumping truck) or what we call “lost drivers” driving
into the park and turning around. Additionally, two “exceptional” trips can be
found which belong to pattern 3 (top row) and occur because the data ends on
May 31st 2016.
6.
Camping preferences
See table above: The
above table shows that most of the park-tourists only visit one camping place
with one trip. While CP5 is clearly the winner, CP1 lacks of tourists which might be due to the fact that it’s located off
the main routes or that it is simply not as appealing as the other camping
places. Some of the tourists visit two but only one guy visits 6 camping places
in one (very long) trip (see 3.5).
2 – Patterns
of Life analyses may also depend on understanding what patterns appear over longer
periods of time (in this case, over multiple days). Describe up to six patterns
of life that occur over multiple days (including across the entire data set) by
vehicles traveling through and within the park. Characterize the patterns by
describing the kinds of vehicles participating, their spatial activities (where
do they go?), their temporal activities (when does the pattern happen?), and
provide a hypothesis of what the pattern represents (for example, many vehicles
showing up at the same location each Saturday at the same time may suggest some
activity occurring there each Saturday). Please limit your answer to six images
and 500 words.
Seasonal Changes (see figure above):
For motorcycles, cars and two- and
three axle trucks, which we suspect also include smaller and larger motorhomes,
a clear seasonal pattern is visible: Season starts in May with 970 unique
visitors and ramps up to 3882 unique visitors in July. End of season is on
October with around 750 unique visitors, and in late fall and during winter
time, the reserve gets less than 200 visitors a month by individual traffic,
slowly picking up in February again. Seasonal patterns are also visible for
trucks and buses, but their season is longer, and less of them pass the park.
Ranger operations are not affected by season, and around 80 trips are performed
each month.
See figure above: Season changes are
very prominent in visitor recordings. In summer there is more daily traffic and
especially overnight stays are frequent. In the image, again, visitors are
represented as columns, this time ordered by when they entered the park over
the year from May 15 to May 16. Stays peak at the weekend of the 4th of July
(see highlighted part of image) and the weekend after (with the event at the
ranger-stop). In winter (darker part to the right) there are almost no
overnight stays and traffic in general is reduced.
Temporal Patterns (see figure above):
Average trip length increases during the season from about half-day-trips in
spring to an average of one and a half days in peak season, sharply dropping
with beginning of October, where probably the campgrounds close. Few outliers
during winter time suggest wild camping or maintenance staff. Non-individual
traffic and freight trucks almost never stop and stay on average around 45
minutes, suggesting transit traffic only.
Spatial Patterns (see Fig. above):
There are three main traffic patterns: Transit traffic, Day Tourists, and
camping tourists. The figure above shows the distribution of all traffic and
for each type of vehicle (except rangers) on each road segment scaled by amount
of trips going through each segment. Transit roads between the exits can be
identified easily, with the roads between general gate 5,1,7 and entrance 1
being the busiest. For the car types, it is obvious, that trucks and buses do
not stop at camping sites.
Speed Patterns (see fig. above):
Large trucks and buses seem to tend to slightly exceed the speed limit (color)
more than other vehicles, especially around entrance 0, between general gate 1
and entrance 3, and for small buses from general gate 7 to entrance 1. We
assume every car takes the shortest route.
Coincident visitors (see figure
above)
Due to overnight stays, the amount of individual traveler vehicles (2axles
cars, 2- and 3-axle trucks) in the park at the same time is around 70 in
spring, ramping up to over 400 the day after July 4th, easing in
fall down to less than 100 and less than 20 in winter time. Far less freight
trucks and buses are counted at any time, since these are transits not spending
time in the park.
Ranger Operations (see figure above):
Rangers are patrolling all year without notable seasonal changes. There are
between one and six ranger trips per day (2.5 on average), and the rangers
spend between 15 minutes and ten hours on the road, staying at stops for up to
1.5 hours. The rangers visit campgrounds less than ranger stops. In the
vicinity of their base, it seems the rangers are likely to drive a bit faster
than elsewhere, maybe eager to start or to call it a day. Also, they drive
pretty fast around ranger stop 3. The business hours are from six in the
morning to midnight, sometimes until 1am or 2am in the morning. There is no
ranger service between 3 and 5 in the morning. Rangers keep well to the speed
limits. There are a few days where they barely stop at checkpoints.
3 – Unusual
patterns may be patterns of activity that changes from an established pattern,
or are just difficult to explain from what you know of a situation. Describe up
to six unusual patterns (either single day or multiple days) and highlight why
you find them unusual. Please limit your answer to six images and 500 words.
1.
Dumping Truck
See figure above: By filtering for violations (non-ranger cars driving to
ranger stops) we can find 23 trips of a four-axle truck driving from entrance 3
to ranger stop 3 through two restricted zones (between gate 5 and 6 and at gate
3), stopping at rs3 for 10-15 minutes, then returning. The top three barcharts show that this truck is only driving at night
(2am-5am) when there are no rangers on duty, on Tuesdays and Thursdays, and
almost every month, except in April. As this truck is violating property and
performing these trips at night, we suspect that this truck is doing something illegal
in the park, perhaps illegal waste dumping.
2.
Cars in restricted area to
ranger-stop1
See figure above: On 2015-07-10, six cars drive directly to ranger-stop 1 (not
allowed). They have a high speed on the segment from the gate to the
ranger-stop. The cars all arrive at the entrance around the same time
(~10:30am) and leave the park in the afternoon at different times. We suspect
that this was an invitation from a ranger to have a get-together at this place,
since initially, one ranger is there as well.
3.
Car Race
See figure above: Filtering for speed we can identify two cars driving over 50 mp/h* in parts of their trips. Both car trips start at the
exact same seconds at entrance 4. We suppose this is an illegal race through
the park. The car that has a max speed of 72mp/h does not win. The other car
with a max speed of 54mp/h reaches entrance 2 two seconds earlier.
4.
Slow day:
See figure above: On 2015-12-11, only one two-axle car is present that drives
very slowly from entrance1 to camping 3, stays 6 minutes and then heads slowly
back.
5.
UUUUUUULTRA-Long-Term-Camper
See figure above: One 2-axle-car enters the park at 2015-06-05 and does not
leave it until the data ends. We suspect the guy(s) live in this park for the
whole period. Above figure shows that they alter the camping places and are
staying there for about a month every time, except for camping place 1, where
they only spend 12 hours. Also it seems they are avoiding the eastern part of
the preserve.
6.
Looking at 4-axle-trucks we can see
that on several occasions these trucks wait multiple hours at some point in the
park (and thus, their overall trip length is increased as well). Typically,
there is only normal transit traffic through the park from this type of
vehicle. Filtering for these long trips shows 6 distinct trips that have no
common spatial pattern. However, all of these trucks arrive after 6pm at an
entrance and wait over night until after 6:45am when they continue their
journey through the park, probably having slept.
4 –– What are the top 3 patterns you discovered that you
suspect could be most impactful to bird life in the nature preserve? (Short
text answer)
The most impactful pattern surely are the regular truck trips through
two restricted zones in the middle of the night when rangers are off-duty.
Obviously, the drivers try to avoid getting caught doing what they are doing,
and since it is the rangers job to protect the environment, the dirty deeds of
the trucks surely are harmful to the preserve. Park Rangers should check and
pursue violations regularly.
Second, we observe that a lot of transit traffic has to take a long way
from entrance1 and entrance3 to entrance4 and entrance2 and vice versa. This
creates larger volumes of traffic on the north/south-roads, probably stressing
the environment with noise and pollution. One solution could be to open the
closed road between gate 5 and 6, if the area protected could cope with the
traffic.
Third, during summer time the visitor impact could be strenuous to bird
life, especially in July. Pipit breeding season is from April to June, and the
species spends most of their time on the ground. Thus, loads of tourists could
have a special impact on the bird and its young. Countermeasures could include
limiting the amount of vehicles per class in the park or increasing entrance
fees.