Estimating the Mobility Benefits of Adaptive Signal Control Technology Using a Bayesian Switch-Point Regression Model

Kodi, John H.; Kidando, Emmanuel; Sando, Thobias; Alluri, Priyanka

doi:10.1061/jtepbs.0000672

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…Since there is no study which has a similar set of analysis as the current study, the authors selected non-informative priors in the estimation of parameters. This approach has also been used in previous studies ( 12 – 18 ). The non-informative priors have a negligible influence on the estimates ( 11 ).…”

Section: Methodsmentioning

confidence: 99%

Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes

Kodi

Kitali

Kidando

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The COVID-19 pandemic outbreak brought significant changes in the travel behavior and operational characteristics of transportation systems. Express lanes (ELs) are among the transportation facilities that are affected by this pandemic. These facilities are built adjacent to existing general-purpose lanes (GPLs), providing drivers additional lanes that are dynamically priced in response to changing traffic conditions. This research investigated the impacts of COVID-19 on the operational performance of ELs and GPLs based on field data from a 5.5 mi corridor on I-95 in Miami, Florida, U.S. The traffic flow parameters, which include speed, traffic flow, and occupancy, were used to describe the traffic conditions before and during COVID-19 (i.e., March–June 2019 and March–June 2020, respectively). The travel time reliability measures, coefficient of variation of travel time, and planning time index, were used to measure user satisfaction. These metrics were derived from a multivariate Bayesian additive regression model that was developed to calibrate the traffic conditions on the study corridor. Overall, the model results indicated that both ELs and GPLs have less variation in travel time, thus making the travel time more reliable during COVID-19 than before. This may be attributed to the decline in the traffic volume observed during the pandemic. The results further showed that COVID-19 had more impact on the GPLs compared with the ELs. The results from this research could assist transportation agencies in understanding the impacts of the COVID-19 pandemic on ELs and GPLs in relation to traffic operations.

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Section: Methodsmentioning

confidence: 99%

Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes

Kodi

Kitali

Kidando

et al. 2022

Transportation Research Record: Journal of the Transportation R

Self Cite

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“…Among them, the control of traffic signals in the road network is also one of the important reasons for the above problems, which has attracted more and more attention from the society [3] . Generally, the control of road network traffic signals is basically unified, but the control methods and application effects are different in different regions, provinces and cities In addition, the limitations of the adaptive response control framework, flow distribution prediction algorithm and delay characteristics can also gradually improve the current signal control efficiency, help relevant departments to understand the traffic situation of various road networks in regional cities in a more timely manner, and lay a solid foundation for the development and innovation of relevant technologies while stabilizing urban traffic [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Traffic signal control method based on traffic distribution prediction algorithm and delay characteristics in super spatiotemporal road network

Qiu,

Fu,

Wang

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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The current extraction form of traffic signal control features in the hyper spatiotemporal road network is a single structure, and the control range is limited, resulting in an increase in the average delay value of signal control. Therefore, the design and verification analysis of the hyper spatiotemporal road network traffic signal control method based on the flow distribution prediction algorithm and delay characteristics is proposed. According to the current measurement requirements and standards, the traffic saturation of the road network is analyzed. The multi-step method is adopted to break the limit of the control range, complete the multi-step extraction of the control characteristics, design the flow distribution prediction algorithm+ delay characteristics of the road network traffic signal control model, and implement the signal control using adaptive modified scheduling. The test results show that the test is carried out in three stages for the selected five intersections at 8:30, 10:00, 12:30, 14:00, 16:30, 20:00 and 24:00, and the average delay value of signal control is better controlled below 0.25s, which indicates that the signal control effect is more targeted and stable, the control force is better, and the control speed and efficiency are closer to the actual needs. The error is controllable and has excellent practical application value.

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Transferability of a calibrated microscopic simulation model parameters for operational assessment of transit signal priority

Ali¹,

Haule

Kodi³

et al. 2023

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Estimating the Mobility Benefits of Adaptive Signal Control Technology Using a Bayesian Switch-Point Regression Model

Cited by 8 publications

References 29 publications

Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes

Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes

Traffic signal control method based on traffic distribution prediction algorithm and delay characteristics in super spatiotemporal road network

Transferability of a calibrated microscopic simulation model parameters for operational assessment of transit signal priority

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