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

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.

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Object-Relational DBMS for Packet-Level Traffic Analysis: Case Study on Performance Optimization

2006 4th IEEE/IFIP Workshop on End-to-End Monitoring Techniques and Services ◽

10.1109/e2emon.2006.1651274 ◽

2006 ◽

Author(s):

M. Siekkinen ◽

E.W. Biersack ◽

V. Goebel

Keyword(s):

Performance Optimization ◽

Traffic Analysis ◽

Object Relational

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

Lecture Notes in Computer Science - Passive and Active Network Measurement ◽

10.1007/978-3-540-24668-8_22 ◽

2004 ◽

pp. 215-226 ◽

Cited By ~ 10

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

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

2014 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc.2014.6912519 ◽

2014 ◽

Cited By ~ 16

Author(s):

Moufida Feknous ◽

Thierry Houdoin ◽

Bertrand Le Guyader ◽

Joseph De Biasio ◽

Annie Gravey ◽

...

Keyword(s):

Traffic Analysis ◽

Internet Traffic

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.743.413 ◽

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.

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