Comprehensive Framework for Quantitative Performance Assessment of Signal Control Effectiveness using Vehicle Trajectories

2020 ◽  
Vol 2674 (12) ◽  
pp. 118-129
Author(s):  
Marija Ostojic ◽  
Archak Mittal ◽  
Hani S. Mahmassani
Keyword(s):  
Performance Assessment ◽  
Estimation Method ◽  
Traffic Signal ◽  
Performance Estimation ◽  
Data Availability ◽  
Connected Vehicle ◽  
Signal Design ◽  
High Resolution Data ◽  
Signal Systems ◽  
Success Indicators

Connected environments offer more information, improved data availability and quality which can lead to better decision making; new meaningful information adds new functionalities and opportunities to advance operational efficiency. Can traffic signal system efficiency and mobility be measured and enhanced in innovative and meaningful ways by combining two data sources - connected vehicle-generated and controller event logs? This paper develops a comprehensive signal systems performance assessment framework that aims to offer better understanding of current traffic signal practices and standards and add new functionalities and opportunities to enhance signal systems operations. Its core is a novel performance metric that provides a holistic representation of the system which traditional metrics do not offer. To develop and demonstrate the concept, the study used simulation data in a format that corresponds to high resolution data (signal status and vehicle positions) on a tenth of a second level. Vehicle trajectory information is processed, fused with control data, synthesized to produce "information" required to develop a signalized approach performance estimation method. The data analysis platform presented in this study is intended to comprehensively characterize the state of the signalized system and help identify causes of inferior intersection performance by defining a set of visual and quantitative success indicators. The practicality of this method is reflected in reducing the time and effort required by the existing signal design/retiming practice, since trajectory-signal signatures distinguish between incidents and retiming opportunities caused by changing traffic conditions.

Data-Driven Ranking of Coordinated Traffic Signal Systems for Maintenance and Retiming

2018 ◽  
Vol 2672 (18) ◽  
pp. 167-178 ◽  
Author(s):  
Christopher M. Day ◽  
Howell Li ◽  
James R. Sturdevant ◽  
Darcy M. Bullock
Keyword(s):  
Performance Measures ◽  
Capacity Allocation ◽  
Traffic Signal ◽  
System Level ◽  
High Resolution Data ◽  
Individual Agency ◽  
Signal Systems ◽  
Analysis Process ◽  
Quantitative Performance ◽  
Further Development

Automated traffic signal performance measures (ATSPMs) have been deployed with increasing frequency. At present, the existing ATSPMs are focused on the performance of individual movements or intersections. As the number of ATSPM users has increased, a need for system-level metrics has emerged. This paper proposes a method of evaluating corridor performance at the system level using high-resolution data. The method is demonstrated for eight signalized corridors in Indiana, including 87 intersections. This method develops five subscores for the areas of communication, detection, safety, capacity allocation, and progression; these five interrelated aspects of performance are each given a category subscore based on quantitative performance measures, with scales appropriate to the context of the operation. An overall score for each corridor is determined from the lowest subscore of each of the five areas. This approach simplifies the analysis process, as opposed to examining several hundred individual movements as currently would be required using ATSPM tools that are commonly available at present. The methodology is presented as a prototype for further development and adaptation to individual agency objectives and data sources.

Framework for Quantitative Annual Evaluation of Traffic Signal Systems

2017 ◽  
Vol 2619 (1) ◽  
pp. 20-35 ◽  
Author(s):  
Danilo Radivojevic ◽  
Aleksandar Stevanovic
Keyword(s):  
Qualitative Evaluation ◽  
Evaluation Process ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Evaluation Methodology ◽  
Data Logging ◽  
Data Types ◽  
Confidence Measure ◽  
High Resolution Data ◽  
Signal Systems

The evaluation of traffic signal systems on an agency level can be of great importance for identifying problems, self-assessing, budgeting, creating a strategy for future steps, and so on. The most famous similar effort of this type is the National Traffic Signal Report Card, which is used as an evaluation methodology for agencies countrywide. The main difference in the proposed methodology is that it steps away from qualitative evaluation and grading and presents a new set of procedures for implementation of quantitative—and therefore more unbiased—evaluation methodology. The proposed methodology should enable self-evaluation and comparison between agencies in relation to agency management, traffic signal operations, signal timing practices, traffic monitoring, data collection, and maintenance. For two agencies, the numerical and logical values of the answers are used in the evaluation process to obtain preliminary results that are displayed with a confidence measure to explain that process. The proposed methodology shows potential, especially if the number of the available data types increases with the introduction of high-resolution data-logging controllers into regular operations. With those additional performance measures, the methodology could be used for tracking the results of operating traffic signals by government institutions or private companies.

scholarly journals Resource-Based Quality Performance Estimation Method for Construction Operations

2021 ◽  
Vol 11 (9) ◽  
pp. 4122
Author(s):  
Young-Jun Park ◽  
Chang-Yong Yi
Keyword(s):  
Construction Projects ◽  
Estimation Method ◽  
Project Managers ◽  
Performance Estimation ◽  
Construction Simulation ◽  
Construction Operations ◽  
Quality Performance ◽  
Management Objectives ◽  
Performance Indexes ◽  
Reducing Costs

Construction quality is one of the primary management objectives relating to duration and cost for construction projects. Project managers struggle with minimizing duration and cost while maximizing quality for construction projects. In construction projects, duration and cost have management priorities. On the other hand, quality is considered a matter of achievement only when it reaches a certain level. Although the importance of quality control in construction management has been constantly discussed, it has still been sacrificed under the goal of shortening construction duration and reducing costs. This study presents a method for estimating the quantitative quality performance of construction operations in which the level of detail is breaking into the work task level for intuitive quality performance evaluation. For this purpose, quality weights of resources that have a proportional quality importance weight and quality performance indexes of resources are utilized for estimating the quantitative quality performance of construction operations. Quality performance estimation and the resource allocation optimization system is presented and validated using a construction simulation model.

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