Alternatives for Transmilenio operation improvement

January 12th, 2016

CONTENT

1. Stop removal at critical stations.

2. Passenger flow management at stations.

3. Returns –Route shortening

4. “Control activo” (Live regulation system)

1. Route stop removal at critical stations

Methodology

Diagnosis

• Actual

functioning

• Survey

• Data gathering

• Microsimulation

modelling

• Indicators

Proposal

• Routes which

will cease to

stop here

• Scenario

modelling

• Potential

benefits

• Indicators

Evaluation of results

• Data gathering

after

implementation

• Indicators –

Before and after

• Conclusions

Cant omit Jiménez

station

38%

May omit, but it’s

better to stay

16%

Better not to use

Jiménez Station

46%

Trip situation at Av. Jiménez Station

1. Stop removal

Diagnosis

Afternoon Peak hour

(17:00-19:00)

F23 - J23

28%

D20 - H20

13%

K10 -

L10

12%

C15 - H15

10%

B73 - H74

9%B1 - F1

8% C4 - H4

4%

B74 - J72

4%

D3 - H3

4%

B27 -

H27

3%

C17 - H17

3%

F60 - F70

2%

Otros

12%

Demand per route at Av. Jiménez station

1. Stop removal

Proposal

• The demand of the routes that will cease to stop (blue)

will use the available seats of the remaining routes (other

colors).

• Black stands for occupied seats by actual passengers of

remaining routes.

Afternoon Peak hour

(17:00-19:00)

0

10

20

30

40

50

60

1,1 1,2 1,3 2,1 2,2 2,3 3,1 4,1 4,2 5,1 5,2

Dw

ell

tim

e (

s)

Stop points

Dwell time at Av. Jiménez stop points

Tiempo de Parada Promedio - Antes [seg] Tiempo de Parada Promedio - Después [seg]

Before After Change (%) Time at the station

(min)

Time saving (min) Change (%)

Before After

Buses

stopping at

the station

568 444 -28% 1564 1230 -334 -27%

Express

Buses

434 558 22% 888 1172 284 24%

Total Buses 1002 1002 0% 2451 2402 -50 -2%

1. Stop removal

Evaluation

Before AfterAfternoon Peak hour

(17:00-19:00)

2. Passenger flow management at stop points

Methodology

Diagnosis

• Actual

functioning

• Data

gathering

• Indicators

Proposal

• Stop point

modelling

• Row

organization

proposals

• Potential

benefits

• Indicators

• Proposal design

Evaluation of

results

• Data gathering

after

implementation

• Indicators –

Before and

after

• Conclusions

2. Passenger flow management

Proposal

• Two Routes: B61, B74

• Schedule: B61 4:30 pm to 7:30 pm

B74 All day

• Tipology: Articulated

• Data gathering: Dwell time, Bus occupancy, Stop occupancy, boardings and alightings.

2. Passenger flow management

Proposal

• Calibration based on boardings,

alightings and dwell time.

2. Passenger flow management

Evaluation

0

5

10

15

20

25

30

35

40

base nov-24 nov-26 nov-30 dic-01

T p

ara

da

(s)

)

Tiempos de parada. Campo

15

17

19

21

23

25

27

29

Base nov-26 nov-30 dic-01

Tie

mp

o (

s)

Tiempos en el tramo

• Dwell time rose by 5,3%.

• Dwell time variability fell by 23,8%.

• Passenger crossing time was

reduced by 43,7%.

3. Returns – Route shortening

Methodology

Diagnosis

• Bus

occupancy.

• Routes with

biggest

variability of

the

occupancy

along the

way.

• Route

selection.

Route

characterization

• Offer.

• Frecuency.

• Round

time.

• Bus fleet.

• Route.

• Tipology.

• Demand

• OD matrix.

Proposal

• Route return

• Demand

variations

• Return

availability

• New scheme

for the route.

• Last station.

• How many

buses will

return.

Evaluation of

results

• Data

gathering

• Indicators

• Conclusions

3. Returns

Diagnosis

3. Returns

Proposal

4. Active Control

5,6 5,5 5,6 5,5 5,5 5,6 5,6 5,6 5,6 5,6

-2,0

0,0

2,0

4,0

6,0

8,0

10,0

12,0

14,0

16,0

0,6 2,4 4,2 6,1 7,9 9,7 11,5 13,4 15,2 17,0

He

ad

wa

y(m

in)

Distance from first station (km)

C84 route Headway

Regular operation (no control)

7,57,1

6,7 6,5 6,5 6,6 6,6 6,8 6,6 6,6

-2,00

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

16,00

0,6 2,4 4,2 6,1 7,9 9,7 11,5 13,4 15,2 17,0

He

ad

wa

y(m

in)

Distance from first station (km

C84 route headway

Operation with Active Control