Emiliano FuccioTommaso FurlanMaurizio DeiddaBig Data Analytics (23/01/2017)

Name Description

user_id Unique id related to a car

timestampDate and time on the detection of the GPS device mounted on the

car

day_of_week Specifying the day of the week on the recordingade by GPS

time_slot Day parting based on the time recorded by the GPS device

lat Latitude of detection

lon Longitude of detection

GPS detection in Milan in the period between 1° April and April 7 2007

Before Data Preparation

We have approximately 1.800.000 detections (points)

Days analyzed for residents: Sunday – Tuesday – Friday – Saturday

Days analyzed for visitors: Friday (from 1Pm) - Saturday

• Identify the most achieved attractions

(Point of Interest)

• Measuring the intensity of the traffic

according to the zone, the time of day

and to points of interest.

• Get insights thanks to the most

important route’s statistics (length,

duration, speed)

• Detect "behavioral" differences among

residents and visitors.

• Multidimensional analysis with

dimensions: weather - time - traffic

Visitors

Friday (from 1PM)

Saturday

(Split 2)

Residents

Sunday

Tuesday

Friday

Saturday

(Split 1)

Split Dataset into two parts

from Split 2 delete all users having user_id content in Split 1

RESIDENTS

• Milano area: 1575.65 Km2

• Grid with areas: 10 Km2

• Low Flow – High Flow

The trend of high traffic flow in the city center and on high speed

highways, doesn't change with respect to residents.

VISITORS

Min Max AVG

Dom 0.367 368.483 40.56

Mart 0.3 367.983 44.731

Ven 0.25 325.25 43.681

Sab 0.55 290.467 43.098

0-3

0

30-60

60-90

90-12

0

120

-1

50

150

-1

80

180

-2

10

210

-2

40

240

-2

70

270

-3

00

300

-3

30

330

-3

60

360

-3

90

1177

457

262

10956 44 1 3 2 1 1 0 1

Distribuzione delle durate Domenica

56%22%

12%5%

Composizione delle durate Domenica

0-30

30-60

60-90

90-120

120-150

150-180

180-210

Duration

• < 30 minutes: increase from Friday to Sunday, lower on Tuesday

• 30 – 60 minutes: decrease from Friday to Sunday, high on Tuesday

• >60 minutes: linear trend during the week

Speed

Min Max AVGDom 5.002 136.051 31.643

Mart 5.01 133.097 27.782

Ven 5.02 125.157 28.907

Sab 5.032 137.392 30.983

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

130

-1

40

244

556

417

287

193136

10372

38 18 18 13 5 2

Distribuzione delle velocità Domenica

12%

26%

20%14%

9%

6% 5%

Composizione delle velocità Domenica

0-10

10-20

20-30

30-40

40-50

50-60

60-70

• No significant differences between working days speed and weekend days ones

• Probably why are there especialy urban detections?

Min Max AVG

Dom 0.047 152.287 16.193

Mart 0.059 139.366 15.719

Ven 0.029 126.646 15.28

Sab 0.108 125.017 15.823

Length0

-11

11-22

22-33

33-44

44-55

55-66

66-77

77-88

88-99

99-11

0

110

-1

21

121

-13

2

132

-1

43

143

-1

54

871

717

336

12537 10 6 2 3 3 2 1 0 1

Distribuzione delle lunghezze Domenica

41%

34%

16%

6%

Composizione delle lunghezze Domenica

0-10

10-20

20-30

30-40

40-50

50-60

60-70

• Short trips (0-20 Km) have the opposite trend than long trips (>20 Km)

• Descend trend for short trips and ascend trend for long trips

VisitorsDuration

454

7942

13 3 3

Distribuzione durate dei visitatori Venerdì

1395

227113

47 26 10

Distribuzione delle dei visitatori Sabato

76%

13%7%

2%1%

1%

Composizione delle durate dei visitatori Venerdì

0-30

30-60

60-90

90-120

120-150

150-180

77%

12%6%

3% 1%1%

Composizione delle durate dei visitatori Sabato

0-30

30-60

60-90

90-120

120-150

150-180

Residenti Giorno Visitatori

0 – 30: 54%

30 – 60: 21%Venerdì

0 – 30: 76%

30 – 60: 13%

0 – 30: 55%

30 – 60: 19%Sabato

0 – 30: 77%

30 – 60: 12%

Visitors short trips extremely greater than residents short trip

Visitors don’t use own car to move in Milano

Speed

41

10288

64

41 45

29 2433

4335

24 21

4

Distribuzione delle velocità dei

visitatori Venerdì

7%17%

15%

11%7%8%

5%

4%

5%

7%6%

4% 3%

Composizione delle velocità dei visitatori Venerdì

0-10

10-20

20-30

30-40

40-50

50-60

60-70

126

290253

180

133115

92 9010293124116

66

2810

Distribuzione delle velocità dei

visitatori Sabato

7%16%

14%

10%7%6%5%

5%

6%

5%7%

6%4%

Composizione delle velocità dei visitatori Sabato

0-10

10-20

20-30

30-40

40-50

50-60

60-70

Residenti Giorno Visitatori

0 – 30: 59%

0 – 50: 82%

+50: 18%

Venerdì

0 – 30: 39%

0 – 50: 57%

+50: 43%

0 – 30: 61%

0 – 50: 81%

+50: 19%

Sabato

0 – 30: 40%

0 – 50: 53%

+50: 47%

Visitors speed extremely lower than residents speed

Visitors park in Milano suburbs and use metro or TrenoNord

train company

Length

193 203

112

66

13 3 3 1

Distribuzione delle lunghezze dei

visitatori Venerdì

32%

34%

19%

11%

Composizione delle lunghezze dei visitatori

Venerdì

0-10

10-20

20-30

30-40

40-50

50-60

603 621

321

219

385 5 3 3

Distribuzione delle lunghezze dei

visitatori Sabato

33%

34%

18%

12%

Composizione delle lunghezze dei visitatori

Sabato

0-10

10-20

20-30

30-40

40-50

50-60

Residenti Giorno Visitatori

0 – 20: 73%

0 – 30: 89%Venerdì

0 – 20: 66%

0 – 30: 85%

0 – 20: 70%

0 – 30: 85%Sabato

0 – 20: 67%

0 – 30: 85%

On the opposite to duration and speed, length of trips in unchanged between

visitors and residents.

Time Label

00:00 – 05:59 Night

06:00 -08:59 Early Morning

09:00 – 11:59 Morning

12:00 – 13:59 Lunch

14:00 – 17:59 Afternoon

18:00 – 19:59 Early Evening

20:00 – 21:59 Evening

22:00 – 23:59 Late Evening

Time slots inhomogeneous? NORMALIZE!

Night

Early

Mornin

g

Mornin

gLunch

Afterno

on

Early

EveningDinner

Late

Evening

Domenica 35,5 92 106,3333 130,5 150,75 99,5 84,5 32,5

Martedì 119,1667 250 190 219 296,5 159 132,5 49,5

Venerdì 105,6667 236 189,6667 224,5 239 161,5 118 68,5

Sabato 42 116,6667 117 136,5 141 84 98,5 57,5

0

50

100

150

200

250

300

350

Cors

e m

ed

ie o

rari

e p

er

fasce

Intesità di traffico per fasce orarie

• Average traffic on weekend in each time slot is

always lower than the working days

• Working Cycle: (early morning + morning) is

almost equal to (afternoon + early evening)

Visitors

9%17%

16%

13%

25%

8%8% 4%

Composizione del traffico visitatori Sabato

Night

Early Morning

Morning

Lunch

Afternoon

Early Evening

Dinner

Time Slot# trajectories

visitors# trajectories

residentsNight 164 252

Early Morning

307 350

Morning 292 351

Lunch 227 273

Afternoon 459 564

Early Evening

143 168

Dinner 146 197Late

Evening80 115

• Friday not considered

• Decrease of the average trajectories in

visitors

• Trend unchanged

We partition the detection area in this way:

• Center: into the yellow perimeter

• Macroareas neighboring: between the yellow perimeter and mains roads

• Suburbs and airports: Externaly geographic area and intersects red perimeter

Macrozones flows analysis

O/D Matrix zones

The obtained results are equivalent, this highlights similar trend between working

days and holidays ones.

PO flows analysis

Po Rif. Po Rif.Piazza Duomo 1 Zona Navigli 14

Galleria Vittorio Emanuele 1 Carcere San Vittore 15Palazzo Reale 1 Basilica Sant'Ambrogio 16Teatro Scala 1 Università Cattolica 17

Piazza Mercanti 1 Biblioteca Ambrosiana 18Castello sforzesco 2 Politecnico 19Parco Sempione 3 Porta Ticinese 20Pinacoteca Brera 4 Corso Bueno s Aires 21

Orto Botanico 5 Basilica San lorenzo 22Stadio Giuseppe Meazza 6 Porta Romana 23Cimitero monumentale 8 Grattacielo Pirelli 24

Università Bocconi 9 Bosco Verticale 25Stazione Ferroviaria Centrale 10 Museo Nazionale della Scienza 26

Aereoporto Linate 11 Chiesa San Sepolcro 27Direzione Aereoporto Malpensa 12 Galleria Arte Moderna 28

Ospedale 13

PO Numero di arrivi

Direzione Malpensa 158

Aeroporto Linate 49

Piazza Duomo 9

Ospedale 4

Zona Navigli 3

Corso Buenos Aires 3

Bosco Verticale 2

Stazione Centrale 1

Porta Ticinese 1

Museo Arte Moderna 1

San Vittore 1

Not all PO present in the OD Matrix,

probabily for the difficulty to park in

centers.

To confirm this trend there is the

completely cluster end absence in

the historic centre.

Weather Analysis

FASCIA Martedì Venerdì Media settimanale

23:30 - 00:59 49 78 3601:00 - 01:59 13 15 2202:00 - 02:59 21 18 8703:00 - 03:59 72 70 6604:00 - 04:59 167 161 16205:00 - 05:59 398 (Nebbia) 332 (Sereno) 33306:00 - 06:59 341 (Nebbia) 326 (Sereno) 33307:00 - 07:59 221 (Nebbia) 208 (Sereno) 23208:00 - 08:59 184 (Nubi Sparse) 166 (Foschia) 19809:00 - 09:59 153 (Nubi Sparse) 156 (Sereno) 18510:00 - 10:59 201 205 23811:00 - 11:59 208 200 22612:00 - 12:59 237 225 24813:00- 13:59 196 220 22714:00 - 14:59 233 218 25615:00 - 15:59 304 (Nubi Sparse) 254 (Sereno) 32216:00 - 16:59 326 (Nubi Sparse) 239 (Sereno) 31917:00 - 17:59 298 (Nubi Sparse) 235 (Sereno) 31118:00 - 18:59 185 (Nubi Sparse) 171 (Sereno) 21319:00 - 19:59 128 (Nubi Sparse) 150 (Sereno) 15920:00 - 20:59 136 (Nubi Sparse) 134 14821:00 - 21:59 128 102 13122:00 - 22:59 67 74 7123:00 - 00:30 37 80 43

0

50

100

150

200

250

300

350

400

450

23

:30 -

00:5

9

01

:00 -

01:5

9

02

:00 -

02:5

9

03

:00 -

03:5

9

04

:00 -

04:5

9

05

:00 -

05:5

9

06

:00 -

06:5

9

07

:00 -

07:5

9

08

:00 -

08:5

9

09

:00 -

09:5

9

10

:00 -

10:5

9

11

:00 -

11:5

9

12

:00 -

12:5

9

13

:00- 1

3:5

9

14

:00 -

14:5

9

15

:00 -

15:5

9

16

:00 -

16:5

9

17

:00 -

17:5

9

18

:00 -

18:5

9

19

:00 -

19:5

9

20

:00 -

20:5

9

21

:00 -

21:5

9

22

:00 -

22:5

9

23

:00 -

00:3

0

Martedì Venerdì Media Settimanale

Analysis specific days

(martedì)

(venerdì)

Traffic flow analysis towards the airport

0

2

4

6

8

10

12

14

16

18

05

:00

- 05

:59

06

:00

- 06

:59

07

:00

- 07

:59

08

:00

- 08

:59

09

:00

- 09

:59

15

:00

- 15

:59

16

:00

- 16

:59

17

:00

- 17

:59

18

:00

- 18

:59

19

:00

- 19

:59

Partenze da Linate

Martedì start

Venerdì start

AVG week start

0

2

4

6

8

10

12

14

16

18

05

:00

- 05

:59

06

:00

- 06

:59

07

:00

- 07

:59

08

:00

- 08

:59

09

:00

- 09

:59

15

:00

- 15

:59

16

:00

- 16

:59

17

:00

- 17

:59

18

:00

- 18

:59

19

:00

- 19

:59

Arrivi a Linate

Martedì end

Venerdì end

AVG week end

• Despite the centre is very busy, we have mainly passing trajectories

• Denied expectations on the consequences of traffic decrease over the weekend

• average speed don't increase

• average length of shorts routes increase

• Visitors short trips extremely greater than residents short trip

• Visitors don’t use own car to move in Milano

• Visitors speed extremely lower than residents speed

• Visitors park in Milano suburbs and use metro or TrenoNord train

company

• On the opposite to duration and speed, length of trips in unchanged between

visitors and residents

• Average traffic on weekend in each time slots is always lower than the working

days

• The points of interest are not nearly ever reached by car

• The weather affects especially the highway and the roads to Linate Airport.

These trends are valid for both residents and visitors

Other Slides

We used the following SQL query:

0-3

0

30-60

60-90

90-12

0

120

-1

50

150

-1

80

180

-2

10

210

-2

40

240

-2

70

270

-3

00

300

-3

30

330

-3

60

360

-3

90

2169

1136

467300

184103 6 2 2 3 0 1 1

Distribuzione delle durate Martedì

50%

26%

11%7%

Composizione delle durate Martedì

0-30

30-60

60-90

90-120

120-150

150-180

180-210

Duration (continuation)

0-30

30-60

60-90

90-12

0

120

-1

50

150

-1

80

180

-2

10

210

-2

40

240

-2

70

270

-3

00

1293

436

275157

93 654 5 0 1

Distribuzione delle durate Sabato

55%19%

12%7%

4% 3%

Composizione delle durate Sabato

0-30

30-60

60-90

90-120

120-150

150-180

180-210

0-3

0

30-60

60-90

90-12

0

120

-1

50

150

-1

80

180

-2

10

210

-2

40

240

-27

0

270

-3

00

300

-3

30

2207

852

447276

156 1277 2 2 1 2

Distribuzione delle durate Venerdi

54%21%

11%

7%

Composizione delle durate Venerdi

0-30

30-60

60-90

90-120

120-150

150-180

180-210

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

130

-1

40

601

1268

881

590

359250

17311074 38 15 9 3 3

Distribuzione delle velocità Martedì

14%

29%

20%

13%

8%6% 4%

Composizione delle velocità Martedì

0-10

10-20

20-30

30-40

40-50

50-60

60-70

0-10

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

601

1102

528507

368

228174

12475 31 19 13 9

Distribuzione delle velocità Venerdì

16%

29%

14%

13%

10%

6% 5%

Composizione delle velocità Venerdì

0-10

10-20

20-30

30-40

40-50

50-60

60-70

Speed (continuation)

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

130

-1

40

358

592

482

290

169124112

60 56 34 26 13 10 3

Distribuzione delle velocità Sabato

15%

25%

21%

13%

7%5%

5%

Composizione delle velocità Sabato

0-10

10-20

20-30

30-40

40-50

50-60

60-70

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

130

-14

0

1576 1605

712

303

98 36 20 13 3 3 2 2 0 1

Distribuzione delle lunghezze Martedì

36%

37%

16%

7%

Composizione delle lunghezze Martedì

0-10

10-20

20-30

30-40

40-50

50-60

60-70

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

1491 1502

637

287

80 32 24 13 6 3 2 1 1

Distribuzione delle lunghezze Venerdì

36%

37%

16%

7%

Composizione delle lunghezze Venerdì

0-10

10-20

20-30

30-40

40-50

50-60

60-70

Length (continuation)

0-1

0

10-20

20-30

30-40

40-50

50-60

60-70

70-80

80-90

90-10

0

100

-1

10

110

-1

20

120

-1

30

913

732

353

202

63 28 16 13 2 3 2 1 1

Distribuzione delle lunghezze Sabato

39%

31%

15%

9%

Composizione delle lunghezze Sabato

0-10

10-20

20-30

30-40

40-50

50-60

60-70

10%13%

15%

12%29%

10%8% 3%

Composizione del traffico residenti Domenica

Night

Early Morning

Morning

Lunch

Afternoon

Early Evening

Dinner

Fascia Numero traiettorie

Night 213Early

Morning276

Morning 319

Lunch 261

Afternoon 603Early

Evening199

Dinner 169

Late Evening 65

17%

17%

13%10%

27%

8% 6% 2%

Composizione del traffico residenti Martedì

Night

Early Morning

Morning

Lunch

Afternoon

Early Evening

Dinner

Fascia Numero traiettorie

Night 715Early

Morning750

Morning 570

Lunch 438

Afternoon 1186

Early Evening 318

Dinner 265

Late Evening 99

16%

18%

14%11%

24%

8% 6%3%

Composizione del traffico residenti Venerdì

Night

Early Morning

Morning

Lunch

Afternoon

Early Evening

Dinner

Fascia Numero traiettorie

Night 634Early

Morning708

Morning 569

Lunch 449

Afternoon 956

Early Evening 323

Dinner 236

Late Evening 137

11%15%

16%

12%

25%

7%9%

5%

Composizione del traffico residenti Sabato

Night

Early Morning

Morning

Lunch

Afternoon

Early Evening

Dinner

Fascia Numero traiettorie

Night 252

Early Morning 350

Morning 351

Lunch 273

Afternoon 564

Early Evening 168

Dinner 197

Late Evening 115