The evaluation of redundancy for road traffic networks

Rawia Ahmed El-Rashidy, Susan Grant-Muller

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents two redundancy indices for road traffic network junctions and also an aggregated network redundancy index. The proposed redundancy indices could be implemented to identify optimal design alternatives during the planning stage of the network junctions whereas the aggregated network redundancy index could assess the best control and management policies under disruptive events. Furthermore, effective measures of network redundancy are important to policy makers in understanding the current resilience and future planning to mitigate the impacts of greenhouse gases. The proposed junction indices cover the static aspect of redundancy, i.e. alternative paths, and the dynamic feature of redundancy reflected by the availability of spare capacity under different network loading and service level. The proposed redundancy indices are based on the entropy concept, due to its ability to measure the system configuration in addition to being able to model the inherent uncertainty in road transport network conditions. Various system parameters based on different combinations of link flow, relative link spare capacity and Relative Link Speed (RLS) were examined. However, the two redundancy indices developed from the combined RLS and relative link spare capacity showed strong correlation with junction delay and volume capacity ratio of a synthetic road transport network of Delft city. Furthermore, the developed redundancy indices responded well to demand variation under the same network conditions and supply variations. Another case study on Junction 3A in M42 motorway near Birmingham demonstrated that the developed redundancy index is able to reflect the impact of the Active Traffic Management (ATM) scheme introduced in 2006.

Original languageEnglish
Pages (from-to)427-439
Number of pages13
JournalTransport
Volume31
Issue number4
DOIs
Publication statusPublished - 21 Dec 2016

Fingerprint

Redundancy
Planning
Greenhouse gases
Entropy
Availability

Cite this

El-Rashidy, Rawia Ahmed ; Grant-Muller, Susan. / The evaluation of redundancy for road traffic networks. In: Transport. 2016 ; Vol. 31, No. 4. pp. 427-439.
@article{41e5db32b71e425da762e0a32ae0ea8b,
title = "The evaluation of redundancy for road traffic networks",
abstract = "This paper presents two redundancy indices for road traffic network junctions and also an aggregated network redundancy index. The proposed redundancy indices could be implemented to identify optimal design alternatives during the planning stage of the network junctions whereas the aggregated network redundancy index could assess the best control and management policies under disruptive events. Furthermore, effective measures of network redundancy are important to policy makers in understanding the current resilience and future planning to mitigate the impacts of greenhouse gases. The proposed junction indices cover the static aspect of redundancy, i.e. alternative paths, and the dynamic feature of redundancy reflected by the availability of spare capacity under different network loading and service level. The proposed redundancy indices are based on the entropy concept, due to its ability to measure the system configuration in addition to being able to model the inherent uncertainty in road transport network conditions. Various system parameters based on different combinations of link flow, relative link spare capacity and Relative Link Speed (RLS) were examined. However, the two redundancy indices developed from the combined RLS and relative link spare capacity showed strong correlation with junction delay and volume capacity ratio of a synthetic road transport network of Delft city. Furthermore, the developed redundancy indices responded well to demand variation under the same network conditions and supply variations. Another case study on Junction 3A in M42 motorway near Birmingham demonstrated that the developed redundancy index is able to reflect the impact of the Active Traffic Management (ATM) scheme introduced in 2006.",
keywords = "active traffic management, disruptive events, entropy, redundancy, road traffic networks",
author = "El-Rashidy, {Rawia Ahmed} and Susan Grant-Muller",
year = "2016",
month = "12",
day = "21",
doi = "10.3846/16484142.2016.1255913",
language = "English",
volume = "31",
pages = "427--439",
journal = "Transport",
issn = "1648-4142",
publisher = "Vilnius Gediminas Technical University",
number = "4",

}

The evaluation of redundancy for road traffic networks. / El-Rashidy, Rawia Ahmed; Grant-Muller, Susan.

In: Transport, Vol. 31, No. 4, 21.12.2016, p. 427-439.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The evaluation of redundancy for road traffic networks

AU - El-Rashidy, Rawia Ahmed

AU - Grant-Muller, Susan

PY - 2016/12/21

Y1 - 2016/12/21

N2 - This paper presents two redundancy indices for road traffic network junctions and also an aggregated network redundancy index. The proposed redundancy indices could be implemented to identify optimal design alternatives during the planning stage of the network junctions whereas the aggregated network redundancy index could assess the best control and management policies under disruptive events. Furthermore, effective measures of network redundancy are important to policy makers in understanding the current resilience and future planning to mitigate the impacts of greenhouse gases. The proposed junction indices cover the static aspect of redundancy, i.e. alternative paths, and the dynamic feature of redundancy reflected by the availability of spare capacity under different network loading and service level. The proposed redundancy indices are based on the entropy concept, due to its ability to measure the system configuration in addition to being able to model the inherent uncertainty in road transport network conditions. Various system parameters based on different combinations of link flow, relative link spare capacity and Relative Link Speed (RLS) were examined. However, the two redundancy indices developed from the combined RLS and relative link spare capacity showed strong correlation with junction delay and volume capacity ratio of a synthetic road transport network of Delft city. Furthermore, the developed redundancy indices responded well to demand variation under the same network conditions and supply variations. Another case study on Junction 3A in M42 motorway near Birmingham demonstrated that the developed redundancy index is able to reflect the impact of the Active Traffic Management (ATM) scheme introduced in 2006.

AB - This paper presents two redundancy indices for road traffic network junctions and also an aggregated network redundancy index. The proposed redundancy indices could be implemented to identify optimal design alternatives during the planning stage of the network junctions whereas the aggregated network redundancy index could assess the best control and management policies under disruptive events. Furthermore, effective measures of network redundancy are important to policy makers in understanding the current resilience and future planning to mitigate the impacts of greenhouse gases. The proposed junction indices cover the static aspect of redundancy, i.e. alternative paths, and the dynamic feature of redundancy reflected by the availability of spare capacity under different network loading and service level. The proposed redundancy indices are based on the entropy concept, due to its ability to measure the system configuration in addition to being able to model the inherent uncertainty in road transport network conditions. Various system parameters based on different combinations of link flow, relative link spare capacity and Relative Link Speed (RLS) were examined. However, the two redundancy indices developed from the combined RLS and relative link spare capacity showed strong correlation with junction delay and volume capacity ratio of a synthetic road transport network of Delft city. Furthermore, the developed redundancy indices responded well to demand variation under the same network conditions and supply variations. Another case study on Junction 3A in M42 motorway near Birmingham demonstrated that the developed redundancy index is able to reflect the impact of the Active Traffic Management (ATM) scheme introduced in 2006.

KW - active traffic management

KW - disruptive events

KW - entropy

KW - redundancy

KW - road traffic networks

UR - http://www.scopus.com/inward/record.url?scp=85006894310&partnerID=8YFLogxK

U2 - 10.3846/16484142.2016.1255913

DO - 10.3846/16484142.2016.1255913

M3 - Article

VL - 31

SP - 427

EP - 439

JO - Transport

JF - Transport

SN - 1648-4142

IS - 4

ER -