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COMPREHENSIVE REPORT:
ACTIVE TRAFFIC MANAGEMENT FOR
URBAN AREAS - FOCUSING ON LIBERTY,
LAHORE
REPRESENTED BY: KOKAB AZAZ
ROLL NO.: 2021-TE-19
Objective:
Develop adaptive
traffic
management
strategies.
Mitigate
congestion at
Liberty during
peak hours.
Provide equitable
access for
competing user
groups.
Detailed Problem Analysis:
Issue Impact
Limited adaptability in
control systems
Severe congestion during peak
demand.
Inefficient utilization of
infrastructure
Traffic moved faster than
absorption rate, causing
congestion.
Accessibility challenges for
user groups
Competing users face difficulties
accessing facilities.
LIBERTY CURRENT TRAFFIC
PARAMETERS:
 Average Daily Traffic Volume: 50,000
vehicles
 Peak Hour Traffic Volume: 6,000
vehicles
 Morning Peak Hour (8:00 AM - 9:00
AM): 15,000 vehicles
 Evening Peak Hour (5:00 PM - 6:00
PM): 20,000 vehicles
0
5,000
10,000
15,000
20,000
25,000
6:00 AM 8:00 AM
10:00
AM
12:00
PM
2:00 PM 4:00 PM 6:00 PM
Traffic Volume
DELAY PROJECTION TABLE:
• Average Delay Before
= (5 + 10 + 7 + 4 + 5 + 15 + 20)
/ 7
≈ 9.57 minutes
Hour Before
Implementation
(Minutes)
6:00 AM 5
8:00 AM 10
10:00 AM 7
12:00 PM 4
2:00 PM 5
4:00 PM 15
6:00 PM 20
RECOMMENDATIONS
1. REAL-TIME TRAFFIC MONITORING:
 Implement smart sensors and
cameras for real-time traffic
monitoring at Liberty.
 Utilize AI algorithms to
analyse and predict traffic
patterns.
Vehicle Count, Traffic Density
Determination along with Emergency
Vehicle Detection- An algorithm has
been developed which has been
trained for detection of vehicles and
emergency vehicles using the
EfficientDet-Lite 0 model. Figure 1 Using TensorFlow lite, optimize for
speed and storage. Help in detection of non-
emergency and emergency vehicles as
trained according to custom dataset.
2. DYNAMIC LANE MANAGEMENT:
Introduce dynamic lane
management at Liberty
to adapt to changing
traffic volumes.
Implement variable
lane assignments
based on real-time
traffic demand.
TIDAL FLOW SYSTEM
Dynamic management of lanes for one direction on road
sections.
Lane clearance ahead of road-
works sites:
Variable message signs (VMS) or dynamic
prisms are used here to protect work teams on
the roads/ motorways.
3. TRAFFIC GUIDANCE SYSTEMS:
Install dynamic electronic
signs at Liberty to guide
drivers with real-time
information.
Utilize variable message
signs to suggest
alternative routes during
congestion.
• The Led information display
board are used extensively
where optimising the flow of
vehicles or pedestrians is of
strategic importance
4. PUBLIC COMMUNICATION:
Establish a communication
system at Liberty to inform
the public about current
traffic conditions.
Utilize mobile apps and
social media to
disseminate real-time
updates.
• For Example, this
application Tells the
user where traffic is so
that vehicles change
lane before entering
CONCLUSION:
The proposed strategies offer a comprehensive solution to
optimize traffic flow, reduce delays, and enhance overall
efficiency. The potential effectiveness of these strategies make
them a convincing investment for the improvement of urban
traffic systems.

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Active traffic management for Urban Areas.pptx

  • 1. COMPREHENSIVE REPORT: ACTIVE TRAFFIC MANAGEMENT FOR URBAN AREAS - FOCUSING ON LIBERTY, LAHORE REPRESENTED BY: KOKAB AZAZ ROLL NO.: 2021-TE-19
  • 2. Objective: Develop adaptive traffic management strategies. Mitigate congestion at Liberty during peak hours. Provide equitable access for competing user groups.
  • 3. Detailed Problem Analysis: Issue Impact Limited adaptability in control systems Severe congestion during peak demand. Inefficient utilization of infrastructure Traffic moved faster than absorption rate, causing congestion. Accessibility challenges for user groups Competing users face difficulties accessing facilities.
  • 4. LIBERTY CURRENT TRAFFIC PARAMETERS:  Average Daily Traffic Volume: 50,000 vehicles  Peak Hour Traffic Volume: 6,000 vehicles  Morning Peak Hour (8:00 AM - 9:00 AM): 15,000 vehicles  Evening Peak Hour (5:00 PM - 6:00 PM): 20,000 vehicles 0 5,000 10,000 15,000 20,000 25,000 6:00 AM 8:00 AM 10:00 AM 12:00 PM 2:00 PM 4:00 PM 6:00 PM Traffic Volume
  • 5.
  • 6. DELAY PROJECTION TABLE: • Average Delay Before = (5 + 10 + 7 + 4 + 5 + 15 + 20) / 7 ≈ 9.57 minutes Hour Before Implementation (Minutes) 6:00 AM 5 8:00 AM 10 10:00 AM 7 12:00 PM 4 2:00 PM 5 4:00 PM 15 6:00 PM 20
  • 8. 1. REAL-TIME TRAFFIC MONITORING:  Implement smart sensors and cameras for real-time traffic monitoring at Liberty.  Utilize AI algorithms to analyse and predict traffic patterns.
  • 9. Vehicle Count, Traffic Density Determination along with Emergency Vehicle Detection- An algorithm has been developed which has been trained for detection of vehicles and emergency vehicles using the EfficientDet-Lite 0 model. Figure 1 Using TensorFlow lite, optimize for speed and storage. Help in detection of non- emergency and emergency vehicles as trained according to custom dataset.
  • 10. 2. DYNAMIC LANE MANAGEMENT: Introduce dynamic lane management at Liberty to adapt to changing traffic volumes. Implement variable lane assignments based on real-time traffic demand.
  • 11. TIDAL FLOW SYSTEM Dynamic management of lanes for one direction on road sections.
  • 12. Lane clearance ahead of road- works sites: Variable message signs (VMS) or dynamic prisms are used here to protect work teams on the roads/ motorways.
  • 13. 3. TRAFFIC GUIDANCE SYSTEMS: Install dynamic electronic signs at Liberty to guide drivers with real-time information. Utilize variable message signs to suggest alternative routes during congestion.
  • 14. • The Led information display board are used extensively where optimising the flow of vehicles or pedestrians is of strategic importance
  • 15. 4. PUBLIC COMMUNICATION: Establish a communication system at Liberty to inform the public about current traffic conditions. Utilize mobile apps and social media to disseminate real-time updates.
  • 16. • For Example, this application Tells the user where traffic is so that vehicles change lane before entering
  • 17. CONCLUSION: The proposed strategies offer a comprehensive solution to optimize traffic flow, reduce delays, and enhance overall efficiency. The potential effectiveness of these strategies make them a convincing investment for the improvement of urban traffic systems.