improving operations of transmilenio: collaboration from universidad de los andes, bogotá, and...
TRANSCRIPT
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