Leveraging Sensor-Based Vehicle Position and Speed Information in Traffic Signal Control with Existing Infrastructure

Day, Christopher M.; Helt, Rob; Sines, Daniel T.; Emtenan, A. M. Tahsin

doi:10.1109/itsc.2019.8917351

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…Some traffic signals feature setback detection, which is frequently used to provide Type II dilemma zone protection by extending the green along a major street to reduce the likelihood that the signal turns yellow when the driver is likely to face indecision about whether to stop or proceed. These detectors are often located about 3–5 s upstream of the stop bar ( 12 ). The trace of setback detector activity is also a record of the vehicle arrivals.…”

Section: Review Of Data Sourcesmentioning

confidence: 99%

Correlation Analysis for Exploring the Relationship Between Probe Vehicle Data and Event-Based Traffic Signal Performance Measures

Emtenan

Day

2022

Transportation Research Record: Journal of the Transportation R

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Probe vehicle data have been extensively used to assess the performance of roadway systems, particularly the interstate highway system. High-resolution data from traffic signal controllers is another data source used for automated traffic signal performance measures (ATSPM), which is increasingly used to evaluate signal operation. As high-resolution data require additional resources and may not always be available, probe vehicle data are sometimes used to evaluate signalized corridor operation. However, there has been little previous research comparing probe vehicle data on signalized corridors with ATSPM. In this study, we compared the average speeds from probe vehicle data with ATSPMs to examine the degree of correlation between the two datasets. Different scenarios including segments with random arrivals and platoons were considered for parts of US 20 in Dubuque, Iowa. Regression analysis was performed with average speed as the dependent variable to check the correlation between the two datasets. Four different signal performance measures, namely the percent on green, volume-to-capacity ratio, percent of green duration, and average delay, were used as independent variables. Two sets of categorical variables representing time-of-day and day-of-week variables were also added. It was found that there exists good correlation between the datasets, supporting the use of probe vehicle data for corridor-level analysis in the absence of high-resolution data. Additionally, the durations of the intervals used for data aggregation were varied to check its impact on the correlation. Higher levels of aggregation resulted in better correlation between the two datasets.

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Section: Review Of Data Sourcesmentioning

confidence: 99%

Correlation Analysis for Exploring the Relationship Between Probe Vehicle Data and Event-Based Traffic Signal Performance Measures

Emtenan

Day

2022

Transportation Research Record: Journal of the Transportation R

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“…Wide area detection, such as radar, which can identify the speeds and positions of individual vehicles, could be used for this purpose ( 12 ). Recently, speed and position data from radar detectors were used to directly control phase termination for both dilemma zone protection as well as to schedule the service of side-street phases to coincide with periods of low expected mainline traffic ( 13 ). In contrast to this application space, the present study focused on phase termination using such data in close range.…”

Section: Literature Reviewmentioning

confidence: 99%

Advanced Gap Seeking Logic for Actuated Signal Control Using Vehicle Trajectory Data: Proof of Concept

Shams

Day

2022

Transportation Research Record: Journal of the Transportation R

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As detection systems improve, opportunities are emerging for using vehicle position and speed to drive signal control. This study explored how basic actuation processes might be improved by using vehicle position and speed. The position and speed of arriving vehicles were used to calculate their estimated time of arrival. Two variations on vehicle extension logic were developed that extended a green until there was a headway in the arriving traffic above a size that corresponded to a minimum flow rate, at which it was desired to terminate the phase. In the first method, the headway was measured from the point where the leading vehicle passed the stop bar, whereas the second method measured the headway from where the leading vehicle was unlikely to stop at the onset of yellow. This was compared against a control with a conventional stop bar and upstream detectors. A simulation study was carried out for an eight-phase intersection. The results suggest that at higher levels of demand, trajectory-based actuation could yield substantial reductions in delay. The trajectory-based methods were able to terminate green more efficiently, leading to reductions in delay in some cases, and reductions in emissions and fuel consumption, although there was a tradeoff in the number of split failures. These early results show promise for the development and fine-tuning of the methods.

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“…In evaluating the green extension/termination algorithms using setback detectors at signalized intersections, Kronborg et al (31) found that the percentage of vehicles in the dilemma zone decreased by 38%, while the number of vehicles at risk of rear-end collisions decreased by 58%. Day et al (32) examined the results from a system that integrates vehicle speed and position data from a radar detection system directly into the actuated control logic, using an algorithm that seeks to minimize the impacts of dilemma zones as well as reduce stops. The study results showed a 98% reduction in dilemma zone vehicles and a 38% reduction in stops, based on visual observation of traffic.…”

Section: Setback Detectors For Dilemma Zone Protectionmentioning

confidence: 99%

Hardware-in-the-Loop Simulation for Assessing Red-Light Violation Warning Application With Semi-Actuated Signal Control in a Connected Vehicle Environment

Arafat¹,

Hadi

Hunsanon

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Understanding the safety and mobility impacts of connected vehicle (CV) applications is critical for ensuring effective implementations of these applications. This study provides an assessment of the safety and mobility impacts of the red-light violation warning (RLVW), a CV-based application at signalized intersections, under semi-actuated signal control utilizing a hardware-in-the-loop simulation environment. With actuated traffic signal operations, there is uncertainty in the end-of-green information provided to the vehicles using CV messages. The RLVW algorithm lacks the input information about when exactly the phase is going to be terminated since this termination occurs when a gap of a particular length is encountered at the detector. This study investigates a method recently proposed in a national effort to provide an assured green period (AGP) to grant definitive times for when the green interval will end. AGP mitigates the uncertainties related to termination of the green signal associated with actuated signal control and is expected to improve the performance of the CV RLVW application. Results showed that the safety benefits of RLVW without the use of AGP were limited. On the other hand, by introducing AGP with 100% RLVW, the number of red-light running events at signalized intersections was reduced by approximately 92%. However, the application of the AGP, as applied and assessed in this paper, can increase the number of stops and approach delay. This issue will need to be further investigated to determine the optimal setting of the AGP considering both mobility and safety impacts.

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Leveraging Sensor-Based Vehicle Position and Speed Information in Traffic Signal Control with Existing Infrastructure

Cited by 6 publications

References 22 publications

Correlation Analysis for Exploring the Relationship Between Probe Vehicle Data and Event-Based Traffic Signal Performance Measures

Correlation Analysis for Exploring the Relationship Between Probe Vehicle Data and Event-Based Traffic Signal Performance Measures

Advanced Gap Seeking Logic for Actuated Signal Control Using Vehicle Trajectory Data: Proof of Concept

Hardware-in-the-Loop Simulation for Assessing Red-Light Violation Warning Application With Semi-Actuated Signal Control in a Connected Vehicle Environment

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