01128716

Component

Traffic congestion is a phenomenon common to everyone's daily lives and has great costs to society. A better understanding of the interaction between freeway and arterial performance may help traffic engineers and researchers improve the operation of existing facilities, and deploy better traffic controls to improve the usage of existing road capacity within a traffic network. In this study, travel time was chosen as the performance measurement and estimated by the loop detectors on freeways and arterials. The authors proposed a novel approach to evaluate the interaction between freeway and arterial performance. The approach is able to identify freeway and arterial travel time pattern similarities via template matching techniques commonly used in computer vision. The interaction was quantified using conditional probability theory and was well- represented by the conditional probability tables. The City of Bellevue, Washington was selected as a case study site. Three freeways and four adjacent major arterials were selected as study routes. The analysis techniques and results allow traffic analysts to more comprehensively observe the interaction between freeway and arterial performance. This approach can also be easily applied to any city’s freeway-arterial network.

01120148

09-2413

English

0000-0002-4180-5628

18p

2009

Transportation Research Board 88th Annual Meeting

DVD

Figures; References (28) ; Tables (5)

Arterial highways; Case studies; Freeway operations; Highway capacity; Loop detectors; Social factors; Traffic congestion; Traffic control; Traffic engineering; Travel surveys

Bellevue (Washington)

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2009 Paper #09-2413

TRIS, TRB

Jan 30 2009 6:46PM