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2 Trajectories

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0% found this document useful (0 votes)
7 views18 pages

2 Trajectories

Uploaded by

narcismarti144
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Transport

Plan
Plan de Systems
de Formación
Formación (40h)
(40h)

Lecture 2. Trajectories

Learning
• Learning goals: Competences to estimate, describe and characterize how
vehicles, people and goods overcome distance; competence to infer kinematic
variables of one or multiple vehicles from a space-time diagram; to plan
transport services in linear infrastructures to maximize the service efficiency or
to guarantee safety conditions; competence to rebuild traffic crashes.
• Previous knowledge: Time and space means of a solid (Continuum
mechanics), vehicular flow and density concepts in roadways (Roadways and
Railways)
• Exercises and cases: Shared trips among different travellers,
acceleration lanes, percentage of heavy vehicles based on aerial photography,
design of sidetracks in single-track railways, management of airport runways,
linear infrastructure capacity.

1
Trajectories (s-t) + queues (N-t)
Transport operations:
• Trajectories (in motion –
overcome the distance)
– Speed, acceleration, etc.
s
• Queues (waiting – overcome
the time)
̶ Waiting time, maximum
queue and average, etc.
• Dual analysis of motion

N
Q
t

t 3

Definition

• Determination of the position of a vehicle (x) in relation to a


reference point during the time (t).

• Geometrical place of the vehicle position (space) respect to


the time: function x(t). Graphic representation of x(t) in the
plane (t, x) is a curve named trajectory.

• Applications:
– Minimum travel time between stations in a railway line for a
maximum speed.
– Determine the initial speed of a car from the braking marks on its
tires.
– Length of runways and location of exits.
– Length of acceleration / deceleration lanes.
– Etc.

2
Diagrams s-t
x
TRAJECTORY
Instantaneous speed
v(t) = dx(t)/dt
1

Instantaneous acceleration
2 a(t) = dv(t)/dt = d2x(t)/dt2
3
* t
(*) does not represent a real physical trajectory

In case uniform motion, v(t) = v(constant) and a(t) = 0(constant):

In case uniformly accelerated motion, a(t) = a(constant):

Interpretation of trajectories (1/2)


s t Acceleration
(recovering
Deceleration speed)
(intersection,
pedestrian
crossing, bump)

Free
speed

Vehicle running at a
lower speed and with
a longer spacing than
the previous vehicles

3
Interpretation of trajectories (2/2)

¿If we record a video


in a section of a road,
what do we see?

Construction of Trajectories
A) by recording times of vehicle passing through fixed sections (elevators,
pedestrians, automobiles, etc.).
B) by photographs in sequenced areas in time or by time ranges in systems
operated by scheduled in a circuit (buses with navigation systems).
C) by recording of the overtaking time of vehicles to an observer in motion at a
constant speed.
D) by continuous “tracking” with GPS (in vehicles such as cars, trucks, urban
buses via SAE or private smart phones) or bluetooth (roads).

4
Diagrams (s,t) in traffic

Real trajectories in
a highway

Traffic jams in highways

10

5
Comparison of PT modes

11

Bus bunching

TRAJECTORIES D'AUTOBUSOS

4500,00 bus 1
4000,00 bus 2
3500,00 bus 3
TEMPS (seg.)

3000,00 bus 4
2500,00 bus 5
2000,00 bus 6
1500,00 bus 7
1000,00 bus 8
500,00 bus 9
0,00 bus 10
0 2 4 6 8 10 12 bus 11
PARADES bus 12

12

6
Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

13

Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

14

7
Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

15

Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

16

8
Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

17

Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

18

9
Bus bunching
AUTOBUSES PAREADOS

2000

1800

1600

1400

1200
Tiem po (s )

1000

800

600

400

200

0
0 5 10 15 20 25
Paradas

19

Trajectories PV and PT

Trajectòries
4.000

3.800

3.600

3.400
TRAJECTORIES B
TRAJECTORY PV OF BUSES
3.200
H
3.000

2.800
A
2.600 E
2.400
G
Posició

2.200

2.000 C
1.800 I
1.600
H2
1.400

1.200 A2
1.000
J
800

600
B2
400

200

0
0 100 200 300 400 500 600 700 800 900 1000 1100 1200

Temps

20

10
Trajectories PV and PT

TRAJECTORIES
TRAJECTORY PV OF BUSES

21

Micro and Macro traffic variables

Micro: h, headway

Macro: q, flow

i=1

Micro: s, spacing

Macro: k, density

j=1

22

11
Time and Space means
Time-mean speed
vi : instantaneous speed at a
specific location during a time T

Space-mean speed
vj : instantaneous speed at a
specific time along a length L

One stationary observer sees two fast vehicles


per one slow vehicle, but a picture shows two
slow vehicles and one fast vehicle!!

Wardrop relationship

23

Average speed of a group of vehicles


Example 1. Three family of vehicles crossing a highway section with
the same flow and speeds v1 = 30 km/h, v2 = 60 km/h and v3 = 60
km/h.

Example 2. Circular highway of length 2 km with 3 vehicles running


at speeds 100, 120 and 140 km/h respectively.

Generalization for the calculation of speed means:

24

12
Fundamental Traffic Equation

x
Stationary:
- Constant speed
- Constant headway
L n, # vehicles - Constant spacing
Identical values of variables at any point of
the diagram (x,t)
t
T

Stationary traffic:
Fundamental equation:

25

Group of vehicles

2 families of vehicles
Ex: Highway with one lane for light vehicles and one lane
for heavy vheicles
Assumption: Uniform headway and constant spacing
between vehicles of the same family (stationary traffic)

hl vl  sl l  1,2
Additive magnitudes
ql  kl vl l  1,2

q   ql ; k   kl l  1,2
l l

Fundamental Traffic Equation: q  k  vl (kl /k )  vs k l  1,2


l

ql kl
 l  1,2
q k
26

13
Railway station capacity

• Capacity of railway stations with high frequency:

ht  t g  t s  t a  t d
1
C
ht
Maximum time admitted between
tg front and back between two
consecutive trains

ts Time of getting on / off


passengers

ta td Times of acceleration and


deceleration

27

Train line capacity (1)


Critical factors: - Line length
- Running speed
- Number and location of sidetracks
- Maintenance time
- Modelo de explotación adoptado
Mantenimiento
Figueres
120

110

100

90

80
Recorrido, km

Apartaderos

70

60

50

40

30

20

10

Mollet 0

4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Horario, horas 28

14
Train line capacity (2)
Figueres

- L= 122km,
v=80 km/h,
4 trenes

Recorrido
Hmin=9min consecutivos

Mollet

Horario
•Figueres
•Recorrido

14 trenes
consecutivos

Mollet

•Horario 29

Airport runway capacity (1)

6-10 nm

50 nm

30

15
Airport runway capacity (2)

Type of Max. take-off Num. of Approaching Classification


aircraft weight, MTOW (kgs) engines speed (Kts) according to capacity

A Mono
<7000 100 Light (L)
B Multi

C 7000-136000 Multi 120 Medium (M)

D >136000 Multi 140 Heavy (P)

31

Airport runway capacity (3)

1. Minimum distance between two consecutive take-offs:


SPAIN USA
Aircraft follower
T>1 min if routes diverge more than 45º
Aircraft leader

T>2 min if routes are parallel but vi –v i+1>70 kt L M P


L 90s 60s 60s
T>3 min other cases
M 120s 60s 60s
P 120s 60s 60s

2. Minimum separation between two consecutive landings:


USA
Aircraft follower
Aircraft leader

L M P
L 102s 77s 77s
M 150s 90s 90s
P 210s 144s 108s
32

16
Airport runway capacity (4)

3. Minimum distance between take-off and landing:

• Standard occupancy time of a runway with fast exit is 1 min (50 sec)
• For a take-off preceding a landing: Dda=2 nm

33

Airport runway capacity (5)

4. Development of analytic solutions:


– Case i: vi≤vj

tij 
vj

– Case ii: vi≥vj

  1 1
tij    
vj v v 
 j i 

– CAPACITY
1
 PIJ Fraction of events that an aircraft of characteristics j is
 PIJ TIJ preceded by other of characteristics i
I ,J TIJ Time between events characterized for the succession ij
34

17
Connection btw trajectories and cumulative diagrams

35

18

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