Scalable Urban Traffic Control

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Scalable URban TRAffic Control [1] (SURTRAC) is an adaptive traffic control system developed by researchers at the Robotics Institute, Carnegie Mellon University. SURTRAC dynamically optimizes the control of traffic signals to improve traffic flow for both urban grids and corridors; optimization goals include less waiting, reduced traffic congestion, shorter trips, and less pollution. The core control engine combines schedule-driven intersection control (SchIC) [2] with decentralized coordination mechanisms.[3] Since June 2012, a pilot implementation of the SURTRAC system [4] has been deployed on nine intersections in the East Liberty neighborhood of Pittsburgh, Pennsylvania.[5] SURTRAC reduced travel times more than 25% on average, and wait times were reduced an average of 40%.[6][4]A second phase of the pilot program for the Bakery Square district has been running since October 2013.[7]

Design[edit]

The SURTRAC system design has three characteristics.[citation needed] First, decision making in SURTRAC proceeds in a decentralized manner. Decentralized control of individual intersections enables greater responsiveness to local real-time traffic conditions. Decentralization facilitates scalability by allowing the incremental addition of controlled intersections over time with little change to the existing adaptive network. It also reduces the possibility of a centralized computational bottleneck and avoids a single point of failure in the system.

A second characteristic of the SURTRAC design is an emphasis on real-time responsiveness to changing traffic conditions. SURTRAC adopts the real-time perspective of prior model-based intersection control methods [8] which attempt to compute intersection control plans that optimize actual traffic inflows. By reformulating the optimization problem as a single machine scheduling problem, the core optimization algorithm, termed a schedule-driven intersection control algorithm,[2] is able to compute optimized intersection control plans over an extended horizon on a second-by-second basis.

A third characteristic of the SURTRAC design is to manage urban (grid-like) road networks, where there are multiple (typically competing) dominant flows that shift dynamically through the day, and where specific dominant flows cannot be predetermined (as in arterial or major crossroad applications). Urban networks also often have closely spaced intersections requiring tight coordination of the intersection controllers. The combination of competing dominant flows and densely spaced intersections presents a challenge for all adaptive traffic control systems. SURTRAC determines dominant flows dynamically by continually communicating projected outflows to downstream neighbors.[3] This information gives each intersection controller a more informed basis for locally balancing competing inflows while simultaneously promoting establishment of larger "green corridors" when traffic flow circumstances warrant.

Criticism[edit]

The SURTRAC system uses closed-circuit television cameras to sense traffic conditions.[9] Surveillance of public places with CCTV networks has been criticized as enabling totalitarian forms of government by undermining people's ability to move about anonymously. Images gathered by CCTV cameras can be analyzed by automatic number plate recognition software, permitting fully automated tracking of vehicles by the license plates (number plates) they carry. Similarly, facial recognition software can analyze such images to identify and track people by the shape of their faces.

It has been suggested that the benefits of traffic optimization have never been scientifically justified. It inherently favors motorized traffic over alternate modes such as pedestrians, bicyclists, and transit users and may promote more auto use.[10][11] It is suggested that an alternate approach could involve traffic calming, and a conceptual focus on the movement of people and goods rather than vehicles.

The SURTRAC system relies on pedestrians pushing a button in order to trigger a WALK signal, or else the pedestrian will be given a continuous "DON'T WALK" signal, despite motor traffic traveling in the same direction having a green light. Pedestrians are unlikely to ever reach an intersection that already has a walk signal unless there happened to be a pedestrian in front of them who had already hit the cross request button. This results in substantially longer wait times for pedestrians over cars to get through the same intersection, essentially making pedestrians second-class citizens of the streets. Also, many pedestrians are unaware that pushing the button is mandatory in order to receive a walk signal, and are confused when an entire light cycle occurs without ever being allowed to cross. The combination of these behaviors results in higher rates of jaywalking, leading to a less safe environment for pedestrians and higher liability for motorists.

In comparison to electromechanical traffic signals, electronic ones such as the SURTRAC system, because of their semiconductor components, are more easily damaged by electrostatic discharge from sources such as lightning, nuclear explosions or geomagnetic storms, which can be carried over the electrical grid.

Because they require a continuous supply of electricity, automatic traffic signals are not suitable for use in places where the electric supply is sporadic or nonexistent. For example, traffic in Pyongyang, North Korea is guided by government workers who stand in the intersections under umbrellas.[12][13]

When drivers become accustomed to automated traffic signals, they may forget how to properly yield the right of way, so that when the electric supply is interrupted, as when a disaster occurs, traffic may not flow as well as if the signals had never been used.[14][original research?] This effect could conceivably delay evacuation or impede the movement of emergency vehicles.

The introduction of traffic signals and associated laws may undermine democracy by conditioning citizens to reflexively obey the signal lights.[15][16][original research?]

Roundabouts are an alternative to signaling systems. At a roundabout, motor traffic may not have to come to a stop (so that drivers' time and fuel may be saved), and crossing for pedestrians may be easier. Studies of intersections converted to roundabouts have found reductions in the frequency and severity of accidents.[17] However, these benefits may not be realized if a roundabout is poorly designed. Roundabouts typically require a greater land area than intersections, so doing such conversions in heavily built-up areas may imply demolition of adjacent structures.

See also[edit]

Other adaptive traffic control systems[edit]

References[edit]

  1. ^ Xiao-Feng Xie, S. Smith, G. Barlow. Smart and Scalable Urban Signal Networks: Methods and Systems for Adaptive Traffic Signal Control. U.S. Patent No. 9,159,229, 2015.
  2. ^ a b Xiao-Feng Xie, Stephen F. Smith, Liang Lu, Gregory J. Barlow. Schedule-driven intersection control. Transportation Research Part C: Emerging Technologies, 2012, 24: 168-189.
  3. ^ a b Xiao-Feng Xie, Stephen F. Smith, Gregory J. Barlow. Schedule-driven coordination for real-time traffic network control. International Conference on Automated Planning and Scheduling (ICAPS), Sao Paulo, Brazil, 2012: 323-331.
  4. ^ a b Stephen F. Smith, Gregory J. Barlow, Xiao-Feng Xie, Zachary B. Rubinstein. Smart urban signal networks: Initial application of the SURTRAC adaptive traffic signal control system. International Conference on Automated Planning and Scheduling (ICAPS). Rome, Italy, 2013.
  5. ^ Stephen F. Smith, Gregory Barlow, Xiao-Feng Xie, and Zack Rubinstein. SURTRAC: Scalable Urban Traffic Control. Transportation Research Board 92nd Annual Meeting Compendium of Papers, 2013.
  6. ^ Walters, Ken (October 16, 2012). "Pilot Study on Traffic Lights Reduces Pollution, Traffic Clogs". CMU website. Carnegie Mellon University. Retrieved January 31, 2013. 
  7. ^ "Real-World Deployments – Bakery Square". 
  8. ^ M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos,and Y. Wang. Review of road traffic control strategies. Proceedings of the IEEE, 2003, 91(12):2043–2067.
  9. ^ Walters, Ken (2012-10-16). "Smart Signals: Pilot Study on Traffic Lights Reduces Pollution, Traffic Clogs". CMU Piper. Retrieved 2013-01-28. 
  10. ^ Michael J. Vandeman, "Is Traffic Signal Synchronization Justifiable?", April 15, 1994
  11. ^ Meyer, Robinson. "Sorry, Los Angeles: Synchronizing Traffic Lights May Not Reduce Emissions". Theatlantic.com. Retrieved 28 January 2013. 
  12. ^ "Traffic Control Platform beneath Umbrella Installed at Intersections of Pyongyang". KCNA. 2009-08-13. Retrieved 2013-01-29. 
  13. ^ "Meet The Ladies Of The Pyongyang Traffic Bureau". Jalopnik.com. 2010-03-05. Retrieved 2013-01-29. 
  14. ^ Remaly, Jake (2012-10-29). "Fallen Trees, Wires, Poles Wreak Havoc on I-287, Local Roads in Morris County - Jefferson, NJ Patch". Jefferson.patch.com. Retrieved 2013-01-29. 
  15. ^ "Houghton Mifflin Textbook - Chapter Outline". College.cengage.com. Retrieved 2013-01-29. 
  16. ^ "U. Houston : PSYCH 1300 : Chptr_07". Coursehero.com. Retrieved 2013-01-29. 
  17. ^ "Q&A: Roundabouts". Iihs.org. Retrieved 2013-01-29. 

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