1991Unpublished venueRequires access

FREEWAY CAPACITY: DEFINITION AND MEASUREMENT ISSUES. HIGHWAY CAPACITY AND LEVEL OF SERVICE. PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY, KARLSRUHE, GERMANY, 24-27 JULY 1991

Bhagwant Persaud, V F Hurdle

Open publisher page 8 citations

Abstract

Freeway is an essential ingredient in the planning, design, and operation of freeways in general and urban freeways in particular. Since normal, day-to-day operation of urban freeways is characterized by recurrent congestion, it is desirable for a traffic analyst to be able to predict the times and places where such congestion will occur, the amount of delay involved, and the traffic flows to be expected in bottlenecks. It is important, therefore, that be clearly defined, be measurable, and be capable of being used in modelling and decision-making. In this paper, several different definitions are examined in the light of these requirements. A combination of philosophical arguments, theory, and data are used to examine definitions falling into four categories: maximum flow, specified percentile flow, mean flow and expected maximum flow. Issues explored include the sensitivity of estimates to the size of observation periods, and when and where can be measured. A by-product of this exploration is the provision of insights into the so-called capacity drop issue, that is, whether is adversely affected by the presence of recurring congestion.

About this research paper

What this paper is about

Freeway is an essential ingredient in the planning, design, and operation of freeways in general and urban freeways in particular. Since normal, day-to-day operation of urban freeways is characterized by recurrent congestion, it is desirable for a traffic analyst to be able to predict the times and places where such congestion will occur, the amount of delay involved, and the traffic flows to be expected in bottlenecks. It is important, therefore, that be clearly defined, be measurable, and be capable of being used in modelling and decision-making. In this paper, several different definitions are examined in the light of these requirements. A combination of philosophical arguments, theory, and data are used to examine definitions falling into four categories: maximum flow, specified percentile flow, mean flow and expected maximum flow. Issues explored include the sensitivity of estimates to the size of observation periods, and when and where can be measured. A by-product of this exploration is the provision of insights into the so-called capacity drop issue, that is, whether is adversely affected by the presence of recurring congestion.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Freeway is an essential ingredient in the planning, design, and operation of freeways in general and urban freeways in particular. Since normal, day-to-day operation of urban freeways is characterized by recurrent congestion, it is desirable for a traffic analyst to be able to predict the times and places where such congestion will occur, the amount of delay involved, and the traffic flows to be expected in bottlenecks. It is important, therefore, that be clearly defined, be measurable, and be capable of being used in modelling and decision-making. In this paper, several different definitions are examined in the light of these requirements. A combination of philosophical arguments, theory, and data are used to examine definitions falling into four categories: maximum flow, specified percentile flow, mean flow and expected maximum flow. Issues explored include the sensitivity of estimates to the size of observation periods, and when and where can be measured. A by-product of this exploration is the provision of insights into the so-called capacity drop issue, that is, whether is adversely affected by the presence of recurring congestion.

Key concepts: Highway Capacity Manual, Level of service, Transport engineering, Percentile, Traffic congestion, Traffic flow (computer networking), Service (business), Operations research

Related papers

Back to paper searchBrowse research topicsOriginal source
FREEWAY CAPACITY: DEFINITION AND MEASUREMENT ISSUES. HIGHWAY CAPACITY AND LEVEL OF SERVICE. PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY, KARLSRUHE, GERMANY, 24-27 JULY 1991 — Research Paper | ScholarLens