Hierarchical system of road networks with inward, outward, and through traffic

Miyagawa, Masashi

doi:10.1016/j.jtrangeo.2010.06.013

Cited by 11 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several previous studies (Weidner 1996;Horner and O'Kelly 2001;Yerra and Levinson 2005;Scott et al 2006;Miyagawa 2011) in this area show that transportation networks (road, air, etc. ) tend to self-organize into a hierarchical pattern in which some links attract more traffic/ users, receive proper maintenance, and are gradually expanded, while other links are less popular, poorly maintained, and may eventually be abandoned.…”

Section: Introductionmentioning

confidence: 92%

A model of the rise and fall of roads

Zhang

Levinson

2016

JTLU

View full text Add to dashboard Cite

This paper analyzes the relationship between network supply and travel demand and describes a road development and degeneration mechanism microscopically at the link (road-segment) level. A simulation model of transportation network dynamics is developed, involving iterative evolution of travel demand patterns, network revenue policies, cost estimation, and investment rules. The model is applied to a real-world congesting network for Minneapolis-St. Paul, Minnesota (Twin Cities), which comprises nearly 8000 nodes and more than 20,000 links, using network data collected since 1978. Four experiments are carried out with different initial conditions and constraints, the results of which allow us to explore model properties such as computational feasibility, qualitative implications, potential calibration procedures, and predictive value. The hypothesis that road hierarchy is an emergent property of transportation networks is corroborated and the underlying reasons discovered. Spatial distribution of capacity, traffic flow, and congestion in the transportation network is tracked over time. Potential improvements to the model, in particular, and future research directions in transportation network dynamics, in general, are also discussed.

show abstract

Section: Introductionmentioning

confidence: 92%

A model of the rise and fall of roads

Zhang

Levinson

2016

JTLU

View full text Add to dashboard Cite

show abstract

“…After computing the theoretical maximum volume of traffic, different road types are defined. The examined area is bordered by arterial roads [19], which are two-way streets and there have one lane in every direction. The maximum permitted velocity is 50 kmph.…”

Section: Comparing the Road Network Of Residential Areas 63mentioning

confidence: 99%

Comparing the road networks of residential areas

Háznagy¹,

Fi²

2016

Pollack Periodica

View full text Add to dashboard Cite

In this study, the traffic flow of morning peak hour is analyzed in residential areas using dynamic traffic assignment method. A comprehensive analysis of the traffic assignment was performed in six different network topologies. The main goals were to compare different road networks and to identify significant similarities and differences of these patterns. By comparing results, a highly detailed picture of the differences crystallized between travel time, velocity and ratio of used routes.

show abstract

“…Miyagawa [14] proposed a grid network model for finding the optimal road area in a hierarchical network. The model was extended by Miyagawa [15] to incorporate inter-city traffic and Miyagawa [16] to determine the total road area.…”

Section: Introductionmentioning

confidence: 99%

Spacing of Intersections in Hierarchical Road Networks

Miyagawa

2018

JORSJ

Self Cite

View full text Add to dashboard Cite

This paper presents an analytical model for examining the spacing of intersections that connect different levels of roads in a hierarchical network. An analytical expression for the average travel time is obtained for a grid road network with two road types: minor and major roads. The travel time is defined as the sum of the free travel time and the delay at intersections. The analytical expression gives basic properties of the tradeoff between the travel time on minor and major roads. The optimal pattern of intersections that minimizes the average travel time is then obtained. The result demonstrates how the road length, the intersection delay, the travel speed, and the size of the city affect the optimal pattern. The model is also applied to the road network of Tokyo. The proposed model explicitly considers the tradeoff between the accessibility to higher level roads and the delay at intersections, and is useful for hierarchical road network design.

show abstract

Hierarchical system of road networks with inward, outward, and through traffic

Cited by 11 publications

References 16 publications

A model of the rise and fall of roads

A model of the rise and fall of roads

Comparing the road networks of residential areas

Spacing of Intersections in Hierarchical Road Networks

Contact Info

Product

Resources

About