01622734

Component

https://doi.org/10.3141/2620-05

In the town of Moab, Utah, a combination of seasonal tourist traffic, heavy truck traffic, and high pedestrian volumes creates a unique traffic management challenge; Moab’s remote location adds additional challenges for real-time traffic monitoring and maintaining of signal timing plans. The Main Street corridor is a strong candidate for an adaptive traffic control system (ATCS). Peer-to-peer (P2P) communication and user-definable control logic were used to develop and implement a cost-effective ATCS called "P2P adaptive control" that used only the existing local controllers and detection. The adaptive control logic adjusts green time along the mainline in response to detector inputs while keeping the side streets at the minimum time needed for pedestrian service. System performance was evaluated by comparing performance measures generated from high-resolution signal controller data before and after implementation of P2P adaptive control. The P2P adaptive control increased the through bandwidth of the corridor and reduced the number of split failures (i.e., the number of phase occurrences with insufficient green). Future work will include adjusting the algorithm to improve service on side streets and expanding P2P adaptive control to additional signals expected to be constructed in the area.

01649617

17-00344

English

pp 43–53

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441759

Digital/other

Figures (11) ; References (16)

Actuated traffic signal controllers; Adaptive control; Advanced traffic management systems; Green interval (Traffic signal cycle); National parks; Pedestrians; Performance measurement; Tourism; Traffic volume

Moab (Utah)

Highways; Operations and Traffic Management; Pedestrians and Bicyclists

TRIS, TRB, ATRI

Dec 8 2016 10:01AM

• Derivation of Decision Boundaries for Left-Turn Treatments at Signalized Intersections
• Detector-Free Optimization of Traffic Signal Offsets with Connected Vehicle Data
• Investigation of Self-Organizing Traffic Signal Control with Graphical Signal Performance Measures
• Leading Pedestrian Intervals: Treating the Decision to Implement as a Marginal Benefit–Cost Problem
• Person-Based Optimization of Signal Timing: Accounting for Flexible Cycle Lengths and Uncertain Transit Vehicle Arrival Times
• Scalable Dashboard for Identifying Split Failures and Heuristic for Reallocating Split Times
• Use of Big Data to Evaluate and Improve Performance of Traffic Signal Systems in Resource-Constrained Countries: Evidence from Cebu City, Philippines
• Use of Microsimulation to Evaluate Signal-Phasing Schemes at Diverging Diamond Interchanges