Guidance for identifying corridor conditions that warrant deploying transit signal priority and queue jump

Ali, Sultan; Kaisar, Evangelos I.; Hadi, Mohammed

doi:10.1109/mtits.2017.8005595

Cited by 14 publications

(4 citation statements)

References 3 publications

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“…The FHWA Traffic Analysis Toolbox documents have provided valuable information on the use of traffic analysis tools, including simulation model calibration (1). However, the existing simulation calibration guidance focuses on the use of field-measured macroscopic flow parameters and performance measures such as average travel times, approach volumes, turning movement counts, and queue lengths as measures of effectiveness (MOEs) to calibrate microscopic driving behavior parameters (2)(3)(4)(5). More recently, there has been an increasing interest in using microscopic parameters extracted from advanced data sources such as vehicle trajectories in simulation model calibration (6)(7)(8).…”

Section: Background On Simulation Model Calibrationmentioning

confidence: 99%

Using High-Resolution Signal Controller Data in the Calibration of Signalized Arterial Simulation Models

Tariq

Hadi

Saha

2021

Transportation Research Record: Journal of the Transportation R

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Calibration of traffic simulation models is a critical component of simulation modeling. The increased complexity of the transportation network and the adoption of emerging vehicle- and infrastructure-based technologies and strategies have motivated the development of new methods and data collection to calibrate the simulation models. This study proposes the use of high-resolution signal controller data, combined with a two-level clustering technique for scenario identifications and a multi-objective optimization technique for simulation model parameter calibration. The evaluation of the calibration parameters resulting from the multi-objective optimization based on travel time and high-resolution signal controller data measures indicate that the simulation model that uses these optimized parameters produces significantly lower errors in the split utilization ratio, green utilization ratio, arrival on green, and travel time compared with a simulation model that uses the software’s default parameters. When compared with a simulation model that uses calibration parameters obtained based on the optimization of the single objective of minimizing the travel time, the multi-objective optimization solution produces comparably low travel time errors but with significantly lower errors for the high-resolution signal controller data measures.

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Section: Background On Simulation Model Calibrationmentioning

confidence: 99%

Using High-Resolution Signal Controller Data in the Calibration of Signalized Arterial Simulation Models

Tariq

Hadi

Saha

2021

Transportation Research Record: Journal of the Transportation R

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“…There are updated research studies on transit and traffic system using microscopic simulation approach and by using intelligent transportation system technology (9,10,11).…”

Section: Chapter One: Introduction and Backgroundmentioning

confidence: 99%

Public Transport Route Selection, Bus Stops Location and Guidance to the Users in Dar Es Salaam

Nassah¹

2020

Preprint

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Transportation planning is very important in improving quality of transportation which in turn improve quality of life but still this profession is not much appreciated in the society. Good planning make progress towards paradise while bad or no planning leave legacy of problems and disputers. Planners perform vital role by anticipating and resolving community conflicts. Good planning requires special skills and perspectives:●Most people prefer to ignore problems until they become unavoidable. Planners are professional worriers who seek out potential problems so they can be mitigated.●Most people look at a problem from a single perspective. Planners are responsible for considering multiple perspectives; they ask, “what is best for everybody overall?”●Most people prefer simple problems and solutions. Planners learn to appreciate complexity, and search for deeper meanings and underlying causes. Planners learn to work with uncertainty and ambiguity.●Most people consider compromise a sign of weakness and failure. Planners are passionate about compromise because it resolves conflicts and often leads to better solutions and justice to everyone and every situation.●Most people prefer to consider one issue at a time. Planners apply integrated analysis, so individual, short-term decisions are consistent with multiple, long-term goals.Despite the effort of planners to help in maintaining balance between the human and natural world, yet, planners often receive little respect. Our successes are taken for granted, and we are often blamed for failures beyond our control. As coordinators of public decision-making, planners are lightning rods to criticism. Our role as unbiased facilitators is often misinterpreted as heartless bureaucrats. Stakeholders frequently hold planners personally responsible when dissatisfied with outcomes. Planners need diplomatic skills and a thick skin: if we do our job well, we are criticized approximately equally by all sides.

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“…Excessive delays and traffic congestion contribute to driver stress. An advancement to the pre-timed plans are the actuated-coordinated signals, which allow unused side-street green time to be utilized by the major-street traffic (9,10). These systems provide more capacity to the main street; however, they result in less efficient coordination as the offsets do not adjust in real-time (7).…”

mentioning

confidence: 99%

Estimating Safety Impacts of Adaptive Signal Control Technology Using a Full Bayesian Approach

Kodi

Kitali

Ali

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Adaptive signal control technology (ASCT) is a traffic management strategy that optimizes signal timing based on real-time traffic demand. Although the primary intent of ASCT is to improve the operational performance of signalized intersections, the technology may also have substantial safety benefits. This study explored the potential safety benefits of the ASCT strategy deployed at signalized intersections in Florida, U.S. An observational before-after full Bayes (FB) approach with a comparison group was adopted to develop crash modification factors (CMFs) for total crashes, rear-end crashes, and specific crash severity levels (fatal plus injury [FI], and property damage only [PDO] crashes). The analysis was based on 20 intersections equipped with ASCT and their corresponding 40 comparison intersections without ASCT. The ASCT deployment was found to significantly reduce total crashes by 7.8% (CMF = 0.922), rear-end crashes by 8.7% (CMF = 0.913), and PDO crashes by 8.1% (CMF = 0.919). The 8.6% reduction in FI crashes (CMF = 0.914) was not significant at a 90% Bayesian credible interval. These findings provide researchers and practitioners with an effective means to quantify the safety benefits of the ASCT strategy and conduct economic appraisals of ASCT deployments.

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Guidance for identifying corridor conditions that warrant deploying transit signal priority and queue jump

Cited by 14 publications

References 3 publications

Using High-Resolution Signal Controller Data in the Calibration of Signalized Arterial Simulation Models

Using High-Resolution Signal Controller Data in the Calibration of Signalized Arterial Simulation Models

Public Transport Route Selection, Bus Stops Location and Guidance to the Users in Dar Es Salaam

Estimating Safety Impacts of Adaptive Signal Control Technology Using a Full Bayesian Approach

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