Travel Demand Modeling To Simulate Traffic Loads for Pavement Deterioration Curves: Dealing With Aggregate Data at Urban And Regional Scales

Shohel Amin, Luis Amador

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Traditional pavement management system uses historical data on traffic volume or traffic growth rate to develop the pavement deterioration curves. This study simulates the traffic loads on regional and urban road networks to estimate the pavement deterioration curves applying travel demand models at urban and regional scales during the period of 2013–2062. Highways 1, 2, 7, 15, 16, 102, and 104 connecting the Atlantic Provinces of Canada are considered as the case study at regional scale. Arterial and local roads of both rigid and flexible pavement types in the city of Montreal are considered as the case study at urban scale. The TRANUS model integrates spatial input-output and transportation models to simulate interprovincial freight movement on the regional road network. Urban transportation planning system simulates the urban traffic on the road network of the city of Montreal. The accumulated traffic loads are calculated based on the predicted annual average daily traffic and locally observed truck distributions combined with truck factors. Roughness progression on regional highways and urban roads is estimated by applying regression model of international roughness index (IRI). The IRI will be 35.71, 43.33, 31.62, and 30.67 for flexible-arterial, rigid-arterial, flexible-local and rigid-local roads during the period of 2013–2062, respectively. Comparative evaluation of with and without simulated traffic reveals that the impact of simulated traffic is highest on the pavement structure of Highways 2 and 1 at regional level and rigid-arterial and flexible roads of Montreal. This study improves the traditional method of estimating pavement deterioration by incorporating the simulated traffic and traffic loads into the pavement performance function.
Original languageEnglish
Pages (from-to)1049-1062
Number of pages14
JournalCanadian Journal of Civil Engineering
Volume42
Issue number12
Publication statusPublished - 8 Oct 2015

Fingerprint

travel demand
pavement
Pavements
Deterioration
road
modeling
Surface roughness
roughness
Trucks
Urban transportation
traffic
transportation planning
planning system
Planning

Keywords

  • travel demand
  • roughness progression
  • transportation planning system
  • urban
  • spatial input-output
  • equivalent single axle
  • loads
  • annual average daily traffic

Cite this

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title = "Travel Demand Modeling To Simulate Traffic Loads for Pavement Deterioration Curves: Dealing With Aggregate Data at Urban And Regional Scales",
abstract = "Traditional pavement management system uses historical data on traffic volume or traffic growth rate to develop the pavement deterioration curves. This study simulates the traffic loads on regional and urban road networks to estimate the pavement deterioration curves applying travel demand models at urban and regional scales during the period of 2013–2062. Highways 1, 2, 7, 15, 16, 102, and 104 connecting the Atlantic Provinces of Canada are considered as the case study at regional scale. Arterial and local roads of both rigid and flexible pavement types in the city of Montreal are considered as the case study at urban scale. The TRANUS model integrates spatial input-output and transportation models to simulate interprovincial freight movement on the regional road network. Urban transportation planning system simulates the urban traffic on the road network of the city of Montreal. The accumulated traffic loads are calculated based on the predicted annual average daily traffic and locally observed truck distributions combined with truck factors. Roughness progression on regional highways and urban roads is estimated by applying regression model of international roughness index (IRI). The IRI will be 35.71, 43.33, 31.62, and 30.67 for flexible-arterial, rigid-arterial, flexible-local and rigid-local roads during the period of 2013–2062, respectively. Comparative evaluation of with and without simulated traffic reveals that the impact of simulated traffic is highest on the pavement structure of Highways 2 and 1 at regional level and rigid-arterial and flexible roads of Montreal. This study improves the traditional method of estimating pavement deterioration by incorporating the simulated traffic and traffic loads into the pavement performance function.",
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N2 - Traditional pavement management system uses historical data on traffic volume or traffic growth rate to develop the pavement deterioration curves. This study simulates the traffic loads on regional and urban road networks to estimate the pavement deterioration curves applying travel demand models at urban and regional scales during the period of 2013–2062. Highways 1, 2, 7, 15, 16, 102, and 104 connecting the Atlantic Provinces of Canada are considered as the case study at regional scale. Arterial and local roads of both rigid and flexible pavement types in the city of Montreal are considered as the case study at urban scale. The TRANUS model integrates spatial input-output and transportation models to simulate interprovincial freight movement on the regional road network. Urban transportation planning system simulates the urban traffic on the road network of the city of Montreal. The accumulated traffic loads are calculated based on the predicted annual average daily traffic and locally observed truck distributions combined with truck factors. Roughness progression on regional highways and urban roads is estimated by applying regression model of international roughness index (IRI). The IRI will be 35.71, 43.33, 31.62, and 30.67 for flexible-arterial, rigid-arterial, flexible-local and rigid-local roads during the period of 2013–2062, respectively. Comparative evaluation of with and without simulated traffic reveals that the impact of simulated traffic is highest on the pavement structure of Highways 2 and 1 at regional level and rigid-arterial and flexible roads of Montreal. This study improves the traditional method of estimating pavement deterioration by incorporating the simulated traffic and traffic loads into the pavement performance function.

AB - Traditional pavement management system uses historical data on traffic volume or traffic growth rate to develop the pavement deterioration curves. This study simulates the traffic loads on regional and urban road networks to estimate the pavement deterioration curves applying travel demand models at urban and regional scales during the period of 2013–2062. Highways 1, 2, 7, 15, 16, 102, and 104 connecting the Atlantic Provinces of Canada are considered as the case study at regional scale. Arterial and local roads of both rigid and flexible pavement types in the city of Montreal are considered as the case study at urban scale. The TRANUS model integrates spatial input-output and transportation models to simulate interprovincial freight movement on the regional road network. Urban transportation planning system simulates the urban traffic on the road network of the city of Montreal. The accumulated traffic loads are calculated based on the predicted annual average daily traffic and locally observed truck distributions combined with truck factors. Roughness progression on regional highways and urban roads is estimated by applying regression model of international roughness index (IRI). The IRI will be 35.71, 43.33, 31.62, and 30.67 for flexible-arterial, rigid-arterial, flexible-local and rigid-local roads during the period of 2013–2062, respectively. Comparative evaluation of with and without simulated traffic reveals that the impact of simulated traffic is highest on the pavement structure of Highways 2 and 1 at regional level and rigid-arterial and flexible roads of Montreal. This study improves the traditional method of estimating pavement deterioration by incorporating the simulated traffic and traffic loads into the pavement performance function.

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