2017
DOI: 10.1080/19427867.2017.1336860
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Evaluation of Red Clearance Extension designs with Hardware-in-the-Loop simulation

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Cited by 4 publications
(4 citation statements)
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“…Predict the time-varying stop queues: This function is to predict the queue length using traffic information from both system sensors and signal states from the traffic controller. Estimate the probability of an observed vehicle taking the ''pass'' action during a yellow phase: This module, the core of the DZPS, can track each individual vehicle's trajectory within the detection area, and estimate a vehicle's pass/stop probability during a yellow phase to determine the activation of an all-red extension (18).…”
Section: System Design Extension With Speed Harmonization Functionmentioning
confidence: 99%
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“…Predict the time-varying stop queues: This function is to predict the queue length using traffic information from both system sensors and signal states from the traffic controller. Estimate the probability of an observed vehicle taking the ''pass'' action during a yellow phase: This module, the core of the DZPS, can track each individual vehicle's trajectory within the detection area, and estimate a vehicle's pass/stop probability during a yellow phase to determine the activation of an all-red extension (18).…”
Section: System Design Extension With Speed Harmonization Functionmentioning
confidence: 99%
“…The optimal tradeoff between the detection and false-alarm rates can be investigated theoretically. Abadi et al found that all-red extension calls between different thresholds of system accuracy had little effect on traffic delays ( 18 ). Considering the potential cost of a red-light-running vehicle causing a right-angle crash compared with unnecessary delays to traffic flow due to some false alarms, the detection rate of 100% was set as the foremost objective of the deployed DZPS.…”
Section: Performance Evaluationmentioning
confidence: 99%
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