Comparison of apportionment methods for assigning trip data to rezoned traffic analysis zones: A case study of Toronto, Canada

2021 ◽  
Author(s):  
Hong Yao ◽  
DongMei Chen
Keyword(s):  
Traffic Analysis ◽  
Apportionment Methods

scholarly journals Unmanned Aerial Vehicle-based Traffic Analysis: A Case Study to Analyze Traffic Streams at Urban Roundabouts

2018 ◽  
Vol 130 ◽  
pp. 636-643 ◽  
Author(s):  
Muhammad Arsalan Khan ◽  
Wim Ectors ◽  
Tom Bellemans ◽  
Yassine Ruichek ◽  
Ansar-ul-Haque Yasar ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Traffic Analysis ◽  
Aerial Vehicle

scholarly journals Tunnel traffic analysis by simulation at the peak traffic time of vehicles: case study (BRT route construction into the Tehran Resalat tunnel)

2016 ◽  
Vol 4 (1) ◽  
pp. 175-182
Author(s):  
Amir Abbas Shojaie ◽  
Mehdi Ebrahimnezhad ◽  
Sajjad Naserkhaki
Keyword(s):  
Traffic Analysis

scholarly journals An evaluation of source apportionment of fine OC and PM2.5 by multiple methods: APHH-Beijing campaigns as a case study

2021 ◽  
Author(s):  
Jingsha Xu ◽  
Deepchandra Srivastava ◽  
Xuefang Wu ◽  
Siqi Hou ◽  
Tuan V. Vu ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Multiple Source ◽  
Multiple Methods ◽  
Apportionment Methods

This paper reports an evaluation of multiple source apportionment methods for OC and PM2.5.

scholarly journals The Effect of the Size of Traffic Analysis Zones on the Quality of Transport Demand Forecasts and Travel Assignments

2018 ◽  
Author(s):  
Mehmet Fatih Altan ◽  
Yunus Emre Ayözen
Keyword(s):  
Regression Model ◽  
Traffic Analysis ◽  
Model Parameters ◽  
The Public ◽  
Employment Density ◽  
Exponential Regression Model ◽  
Demand Forecasts

In this work we have studied the selection criteria for traffic analysis zones and the effects of their size and number on the model’s forecasting capabilities. To do so we have focused on the corridor of İstanbul’s Kadıköy-Kartal Metro Line and evaluated the consistency of demand forecasts and travel assignments versus actual measurements under different sizes of the Traffic Analysis Zones (TAZ). Significant improvements in model accuracy were observed by decreasing the zone size. Specifically, studying the public transport network assignments for the metro line when increasing the number of traffic analysis zones from 540 to 1,788 the root mean square error (RMSE) of forecasted vs. actual station-based counts was reduced by 23%. Subsequently, the study used population density and employment density as independent variables for the determination of the optimal radius for the 1,788 zone area, and applied an exponential regression model. Appropriate model parameters were derived for the above case study. The regression model resulted in R2 values over 0.62.

Using Data Stream Management Systems for Traffic Analysis – A Case Study –

2004 ◽  
pp. 215-226 ◽  
Author(s):  
Thomas Plagemann ◽  
Vera Goebel ◽  
Andrea Bergamini ◽  
Giacomo Tolu ◽  
Guillaume Urvoy-Keller ◽  
...  
Keyword(s):  
Data Stream ◽  
Traffic Analysis ◽  
Management Systems ◽  
Data Stream Management ◽  
Stream Management ◽  
Data Stream Management Systems ◽  
Using Data

Internet traffic analysis: A case study from two major European operators

2014 ◽  
Author(s):  
Moufida Feknous ◽  
Thierry Houdoin ◽  
Bertrand Le Guyader ◽  
Joseph De Biasio ◽  
Annie Gravey ◽  
...  
Keyword(s):  
Traffic Analysis ◽  
Internet Traffic

An Approach to Boundary Finding of Intersection Group for Traffic Analysis due to Intersection Improvements

2015 ◽  
Vol 743 ◽  
pp. 413-421
Author(s):  
Ying Ying Ma ◽  
Ying Zeng
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Road Network ◽  
Laplacian Matrix ◽  
Traffic Analysis ◽  
Saturation Degree ◽  
Correlation Degree ◽  
Two Measures ◽  
Group Boundary

Increased traffic congestion makes intersection improvements are necessary to improve the capacity and traffic running conditions. Because of the influence of a certain intersection improvements is not limit to itself, but covers the intersections around it. The approach to find the boundary of signal group for traffic analysis due to a certain intersection improvements is discussed in this paper. Firstly, two kinds of correlation degree are modeled, which are the basis of intersection grouping. Saturation degree and free flow travel time are considered in the model of correlation degree between two adjacent intersections considers, while correlation degree between any two intersections in the network is analyzed using Laplacian matrix algorithm. Secondly, the approach to find intersection group boundary is proposed. Thirdly, two measures are adopted in quantifying the results of intersection grouping: minimum average cut correlation degree and minimum traffic influence on the intersections outside of boundary. At last, the developed method is used on a city road network. The results of case study confirm the validity of the proposed approach.

Traffic analysis in optical burst switching networks: a trace-based case study

2009 ◽  
Vol 20 (7) ◽  
pp. 633-649 ◽  
Author(s):  
Ahmad Rostami ◽  
Adam Wolisz ◽  
Anja Feldmann
Keyword(s):  
Optical Burst Switching ◽  
Traffic Analysis ◽  
Switching Networks ◽  
Burst Switching ◽  
Optical Burst Switching Networks ◽  
Optical Burst

Traffic analysis at short time-scales: an empirical case study from a 3G cellular network

2008 ◽  
Vol 5 (1) ◽  
pp. 11-21 ◽  
Author(s):  
F. Ricciato ◽  
E. Hasenleithner ◽  
P. Romirer-Maierhofer
Keyword(s):  
Time Scales ◽  
Cellular Network ◽  
Traffic Analysis ◽  
Short Time ◽  
3G Cellular Network
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