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Implementation of a Headway
Constrol System for Buses in Santiago
Ricardo Giesen
Juan Carlos Muñoz, Felipe Delgado & Pedro Lizana
Pontificia Universidad Católica de Chile
Bus Bunching
• Santiago, Chile
2
3
Bus Bunching
• Bogotá, Colombia
4
Bus Bunching
• Beijing, China
Bus Bunching
• Brussels, Belgium
5
Bus Bunching
• Boston, MA
6
• London, UK
7
Bus Bunching
8
Bus Bunching
Bus Bunching
• Trajectories: distance vs time
9
NN
NN
Bus bunching is a challenging problem
 Increases average waiting times
 Pushes transit agencies to increase the number of buses
 Reduces transit comfort and reliability
Solution: Control headways
Schedule-based control
• Common in USA and Europe
• Low frequency services
• Not appropiate for Transantiago
High frequency
Congestion
Long services (60+ km) with more than 120 stops
Buses overtake each other
• Schedule adherance is extremely difficult
 Requires a lot of effort by the people involved in operating the system
 Not flexible: partially considers real-time information
12
¿In Transantiago?
Fine system => Multas: ICF e ICR
Guarantee frequence and regularity compliance
Fines whenever heaways exceed a threshold
Have put into evidence the lack of solutions cost-
effective solutions available in the market
13
Proposed headway control model
• Rolling horizon mathematical programming optimization
model (Delgado et al., 2012)
• Minimize user waiting times subject to system constraints
• Seeks to regularize operation and address bus bunching
with real-time information
• Decision variable: holding times at bus stops, increase or
decrease bus speed
• Buses do not follow a schedule: supply is adjusted to
demand depending on real-time system conditions (traffic
and bus headways and capacities)
14
Simulation results
• Both in BRT corridors and mixed-traffic services the
following benefits have been observed:
 Reduced waiting times and their variability
 More regular headways: decreased regularity fines
 More even bus loads: improved bus confort
 Improved cycle time regularity making terminal
operations smoother
15
Simulation results: video
No control
With control
Circle: buses
Color: bus loads
(green: empty….red: at capacity)
16
Headway control software: Buzz Assist
• Develop software and implement solution in real bus
services
• Retrieve real-time bus location and run optimization
model with a frequency of one minute
• Control instructions are then sent to any Android
(commercial or industrial) tablets (with GPS and data
plan) installed in the buses
• Software is flexible enough to adapt to existing transit
system technology (GPS devices and consoles)
• Operates in headway and schedule based control
systems
17
Software: Input information
• Static transit system data:
• Bus services, operating programs, bus stop locations, etc: data in
General Transit Feed Specification (GTFS) format (used by Google
Transit)
• Real-time bus positions:
• GPS devices already installed in buses
• Tablet GPS
• Demand data:
• Passive smart card information: OD matrices and historical bus stop
arrival rates
• Segment speeds:
• Combination of real-time speeds with historical speeds
18
Synoptic & dashboard web tool
• Visualize buses and control instructions, modify system
parameters and download daily operating reports
19
Buzz Console
• “Slow down” recommendation
20
Buzz Console
• Wait additional time at bus stops and headers
21
Buzz Console
• Ok
22
Buzz Console
• Speed up if possible
23
Buzz Console
• Traffic congestion
24
Console device management system
• Check device statuses
25
Buzz Console
• Currently testing in real operating conditions different devices:
commercial tablet vs. industrial console
• Start pilot test in B22 and B14 services (February 2015)
• Obstacles: anti-theft and ruggedized support structures
• Lessons: offer an integrated service (both hardware + software)
and relevance of headway control in terminals
26
Integration to existing technological system
• We have successfully integrated our technology to an
existing fleet management system (with Subus Chile S.A)
27
Holding
Instruction
Copyright: Mobius S.A.
Time with
forward and
backward
buses
Integration to existing technological system
• Pilot test in 210 service since March 2014
• Results: 40-50% decrease in fines despite a 25%
compliance rate
28
System not operating
Complementary technologies
• Android Mobile App for dispatching buses in terminals
• Android Mobile App for counting passengers in buses
• Buzz Santiago: sustainable mobility App (transit+bike)
29
Thank you
Implementation of a Headway
Constrol System for Buses in Santiago
Ricardo Giesen
Juan Carlos Muñoz, Felipe Delgado & Pedro Lizana
Pontificia Universidad Católica de Chile

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Implementation of a headway control system for buses in santiago

  • 1. Implementation of a Headway Constrol System for Buses in Santiago Ricardo Giesen Juan Carlos Muñoz, Felipe Delgado & Pedro Lizana Pontificia Universidad Católica de Chile
  • 9. Bus Bunching • Trajectories: distance vs time 9
  • 10. NN NN
  • 11. Bus bunching is a challenging problem  Increases average waiting times  Pushes transit agencies to increase the number of buses  Reduces transit comfort and reliability Solution: Control headways
  • 12. Schedule-based control • Common in USA and Europe • Low frequency services • Not appropiate for Transantiago High frequency Congestion Long services (60+ km) with more than 120 stops Buses overtake each other • Schedule adherance is extremely difficult  Requires a lot of effort by the people involved in operating the system  Not flexible: partially considers real-time information 12
  • 13. ¿In Transantiago? Fine system => Multas: ICF e ICR Guarantee frequence and regularity compliance Fines whenever heaways exceed a threshold Have put into evidence the lack of solutions cost- effective solutions available in the market 13
  • 14. Proposed headway control model • Rolling horizon mathematical programming optimization model (Delgado et al., 2012) • Minimize user waiting times subject to system constraints • Seeks to regularize operation and address bus bunching with real-time information • Decision variable: holding times at bus stops, increase or decrease bus speed • Buses do not follow a schedule: supply is adjusted to demand depending on real-time system conditions (traffic and bus headways and capacities) 14
  • 15. Simulation results • Both in BRT corridors and mixed-traffic services the following benefits have been observed:  Reduced waiting times and their variability  More regular headways: decreased regularity fines  More even bus loads: improved bus confort  Improved cycle time regularity making terminal operations smoother 15
  • 16. Simulation results: video No control With control Circle: buses Color: bus loads (green: empty….red: at capacity) 16
  • 17. Headway control software: Buzz Assist • Develop software and implement solution in real bus services • Retrieve real-time bus location and run optimization model with a frequency of one minute • Control instructions are then sent to any Android (commercial or industrial) tablets (with GPS and data plan) installed in the buses • Software is flexible enough to adapt to existing transit system technology (GPS devices and consoles) • Operates in headway and schedule based control systems 17
  • 18. Software: Input information • Static transit system data: • Bus services, operating programs, bus stop locations, etc: data in General Transit Feed Specification (GTFS) format (used by Google Transit) • Real-time bus positions: • GPS devices already installed in buses • Tablet GPS • Demand data: • Passive smart card information: OD matrices and historical bus stop arrival rates • Segment speeds: • Combination of real-time speeds with historical speeds 18
  • 19. Synoptic & dashboard web tool • Visualize buses and control instructions, modify system parameters and download daily operating reports 19
  • 20. Buzz Console • “Slow down” recommendation 20
  • 21. Buzz Console • Wait additional time at bus stops and headers 21
  • 23. Buzz Console • Speed up if possible 23
  • 24. Buzz Console • Traffic congestion 24
  • 25. Console device management system • Check device statuses 25
  • 26. Buzz Console • Currently testing in real operating conditions different devices: commercial tablet vs. industrial console • Start pilot test in B22 and B14 services (February 2015) • Obstacles: anti-theft and ruggedized support structures • Lessons: offer an integrated service (both hardware + software) and relevance of headway control in terminals 26
  • 27. Integration to existing technological system • We have successfully integrated our technology to an existing fleet management system (with Subus Chile S.A) 27 Holding Instruction Copyright: Mobius S.A. Time with forward and backward buses
  • 28. Integration to existing technological system • Pilot test in 210 service since March 2014 • Results: 40-50% decrease in fines despite a 25% compliance rate 28 System not operating
  • 29. Complementary technologies • Android Mobile App for dispatching buses in terminals • Android Mobile App for counting passengers in buses • Buzz Santiago: sustainable mobility App (transit+bike) 29
  • 31. Implementation of a Headway Constrol System for Buses in Santiago Ricardo Giesen Juan Carlos Muñoz, Felipe Delgado & Pedro Lizana Pontificia Universidad Católica de Chile