A Study on Strategies of Increasing the Road Network Capacity in Ladder Network Pattern

1995 ◽  
Vol 30 (0) ◽  
pp. 613-618
Author(s):  
Yuzo Masuya ◽  
Tohru Tamura ◽  
Kazuo Saito
Keyword(s):  
Road Network ◽  
Network Capacity ◽  
The Road ◽  
Ladder Network ◽  
Network Pattern

A Combined Land-Use and Transportation Model for Work Trips

10.1068/b2608 ◽  
2000 ◽  
Vol 27 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Qiang Meng ◽  
Hai Yang ◽  
Sze-Chun Wong
Keyword(s):  
Land Use ◽  
Road Network ◽  
Network Capacity ◽  
Programming Approach ◽  
Round Trip ◽  
Transportation Model ◽  
The Road ◽  
Land Use Model ◽  
On The Road ◽  
The Given

In this paper we propose a combined land-use and transportation model for work trips with constraints on the road network capacity. A Lowry-type land-use model is used to distribute all the given activities into various residential and employment zones. Trip distributions are based on the equilibrium round-trip cost, which is obtained from a network equilibrium model. A bilevel programming approach is used to determine the maximum number of trips that can be accommodated by the road network subject to the network-capacity constraints.

scholarly journals Macro-level road network evaluation by fuzzy signature rule bases

2021 ◽  
Vol 4 (1) ◽  
pp. 3-16
Author(s):  
Gergely Cs. Mikulai ◽  
László T. Kóczy
Keyword(s):  
Road Network ◽  
Network Capacity ◽  
Macro Level ◽  
Rule Base ◽  
The Road ◽  
Weak Points ◽  
Typical Part ◽  
Rule Bases ◽  
Available Information

In our fast-growing world, we need to create increasingly efficient systems to ensure further growth and sustainability. This also applies to transportation, where a key limitation is the bottle-necks of road network capacity. To eliminate, or at least, to moderate these bottlenecks, they must first be localised. In this case study, a model is proposed to objectively identify the weak points of the road infrastructure in the Western Hungarian region, a typical part of the Hungarian road net-work, based on automated data input. This way, there is no need to visually analyse the road net-work on site, but it is possible to evaluate the available information and suggest efficient measures from the distance. The model is suitable for general application, meaning it can serve other regions or countries as well, and enables macro-level decision-makers to take steps to eliminate those weak points. A fuzzy signature rule base is applied by the authors, which systematically maps and models the various attributes of the road network. The model currently contains more than 20 independent variables as inputs, but they can be easily expanded or replaced if further inputs need to be included.

scholarly journals Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xiaowei Jiang ◽  
Muqing Du ◽  
Haisheng Liu
Keyword(s):  
Road Network ◽  
Travel Demand ◽  
Management Strategies ◽  
Network Capacity ◽  
Assessment Model ◽  
Urban Road ◽  
The Road ◽  
Capacity Model ◽  
Congestion Effect ◽  
Parking Pricing

To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.

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