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IMPROVEMENT OF TRAFFIC SIGNAL CONTROL STRATEGY LHOVRA

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Detector locations designed for 70 km/h or higher speed vehicles ... Real speed range and practical option zone in the ... A speed dependent 'O' function ... – PowerPoint PPT presentation

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Title: IMPROVEMENT OF TRAFFIC SIGNAL CONTROL STRATEGY LHOVRA


1
IMPROVEMENT OF TRAFFIC SIGNAL CONTROL STRATEGY
LHOVRA
  • Azhar Al-Mudhaffar
  • Transport and Logistics,
  • Transport and Economics, KTH

2
Isolated signal control with the LHOVRA technique
  • LHOVRA was originally developed in order to
    increase safety and to reduce lost time and the
    number of stopped vehicles at signalized
    intersections along high-speed roads, During
    its trial period, the accident rate at the test
    intersections reduced from 0.7 to 0.5 accidents
    per million incoming vehicles

3
The LHOVRA acronym and detector positions
4
The incident reduction function
  • The O function is intended to reduce the number
    of vehicles in the option zone and thereby
    reducing the number of red light drivers and
    rear-end collisions, by extending the green time
    known as Past-end green

5
Option zone
6
Option zone

7
Past - end green
8
Evaluation and development
  • Three different studies
  • Theoretical analysis
  • Field measurements
  • Micro simulation

9
Theoretical analysis Discussion points
  • Green time extension based on existence of only
    one vehicle in the option zone
  • Detector locations designed for 70 km/h or higher
    speed vehicles
  • May have opposite effect for vehicles driving at
    lower speeds

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12
Suggestions for improvement
  • Changing detector location and green time
    extension
  • Using double-loop detector (or video sensors) at
    beginning of the option zone to measure speeds
  • Considering the headway between two vehicles in
    the option zone

13
Considering the headway
  • The condition is if the headway between the
    existing vehicle and the new approached one is
    less than (detector distance to the stop line -
    min possible stop distance of existence vehicle)
    / speed, then an order of extension must be given

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16
Field Measurements Methods of data collection
  • Ø Two digital cameras on a Tower.
  • Ø Signal Controller output recorded
  • Ø Pneumatic tubes in the same location of the
    normal detectors.
  • Ø All connected to one data-logger for time
    synchronisation

17
Results of the field measurements
  • The average of the reaction time is about 1
    second while the LHOVRA handbook assumes that it
    is 0.75 second
  • The max deceleration is 4.6 m/s2 while the LHOVRA
    handbook assumes that it is 4.9 m/s2
  • Results of from Ängbyplan are as follows
  •  
  • The data collection corresponds to Ängbyplan at
    the interval 730-750. The number of observation
    was 20 and the average speed was 66.5 km/h.

18
Stop and go behavior in reaction to amber
19
Practical option zone
  • Real speed range and practical option zone in the
    approaches with 50 km/h posted speed

20
Stopped vehicles
  • The share of the stopped vehicles after receiving
    past-end green (PEG)

21
Simulation Choosing a model
  • VISSIM was selected as the model of
    choice possible to define behaviour in
    relation to the onset of amber (reaction-to-amber
    ) possible to program LHOVRA functions in
    the VisVAP module

22
Intersection test site
23
Calibration Driver Decision modelling
  • One decision model
  • Logistic function with three parameters
  • Two variables Speed and Distance

24
Driver decision modelling
  • Binary logistic regression used to estimate the
    three parameters from the field data
  • Results of the stop probability from the field
    have given softer curves than these used in VISSIM

25
Simulation Experiment
  • 4 Scenarios
  • Detector positions 1. 130 and 80 metres
    (standard) 2. 110 and 65 metres (suggested)
  • Signal controller logic
  • 1. Standard O function
  • 2. Speed dependent O function

26
Results
27
Conclusions
  • A speed dependent O function-reduces wasted
    green time and number of stops after receiving
    PEG,-has a positive effect on safety in the form
    of a reduction in measures of TTC
  • A distance closer to the stop line reduces
    red-light violations.

28
Future research
  • Simulation tests of other models based on newly
    collected field data to optimize detector
    position
  • Field tests.

29
  • THANK YOU FOR YOUR ATTENTION
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