Development and Application of Portland Traffic System Performance Evaluation System

Author(s):  
Loren Bloomberg ◽  
Jamie Throckmorton ◽  
Terry Klim

The city of Portland’s Traffic System Performance Evaluation (TSPE) system is an innovative, practical, and cost-effective tool for monitoring traffic system performance in response to federal, state, and local legislation. It has been designed, implemented, and applied using readily available traffic data. The TSPE goes beyond traditional level-of-service analysis and gives the city a means to identify operational deficiencies and provide a baseline for future performance monitoring. The TSPE includes five performance indicators that were crafted in response to questions about traffic performance and in recognition of the costs and availability of data to support performance evaluation. Each of the five indicators addresses a specific element of traffic performance. District accessibility measures the ease of access to and egress from major activity centers by examining the delay at gateway intersections. The street origin-destination characteristics indicator assesses the percentage of nonlocal trips on streets with different functional classifications. Travel time is measured on a set of specific routes between activity centers. The traffic flow indicator assesses the variation in speeds on major roadways. The multimodal service levels indicator assesses multimodal operational performance based on service levels for four different transportation modes (vehicular, transit, bicycle, and pedestrian) along a corridor. The system has proved to be relatively easy and inexpensive to apply. Other jurisdictions developing performance evaluation systems should consider integrating some components of the TSPE system.

2006 ◽  
Vol 53 (4-5) ◽  
pp. 331-339 ◽  
Author(s):  
J. Comas ◽  
I. Rodríguez-Roda ◽  
M. Poch ◽  
K.V. Gernaey ◽  
C. Rosen ◽  
...  

In this paper the development of an extension module to the IWA/COST simulation benchmark to include expert reasoning is presented. This module enables the detection of suitable conditions for the development of settling problems of biological origin (filamentous bulking, foaming and rising sludge) when applying activated sludge control strategies to the simulation benchmark. Firstly, a flow diagram is proposed for each settling problem, and secondly, the outcome of its application is shown. Results of the benchmark for two evaluated control strategies illustrate that, once applied to the simulation outputs, this module provides supplementary criteria for plant performance assessment. Therefore, simulated control strategies can be evaluated in a more realistic framework, and results can be recognised as more realistic and satisfactory from the point of view of operators and real facilities.


2020 ◽  
Vol 20 (1) ◽  
pp. 82-94
Author(s):  
Badrus Zaman ◽  
Army Justitia ◽  
Kretawiweka Nuraga Sani ◽  
Endah Purwanti

AbstractHoax news in Indonesia spread at an alarming rate. To reduce this, hoax news detection system needs to be created and put into practice. Such a system may use readers’ feedback and Naïve Bayes algorithm, which is used to verify news. Overtime, by using readers’ feedback, database corpus will continue to grow and could improve system performance. The current research aims to reach this. System performance evaluation is carried out under two conditions ‒ with and without sources (URL). The system is able to detect hoax news very well under both conditions. The highest precision, recall and f-measure values when including URL are 0.91, 1, and 0.95 respectively. Meanwhile, the highest value of precision, recall and f-measure without URL are 0.88, 1 and 0.94, respectively.


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