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Traffic network design software based on subjective welfare maximization

A traffic network, subjective technology, applied in the field of traffic engineering, which can solve problems such as rarely using logsum

Active Publication Date: 2019-11-19
SOUTHEAST UNIV
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Problems solved by technology

Although discrete choice models are often used in transportation, logsum is rarely used in project evaluation [9]

Method used

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  • Traffic network design software based on subjective welfare maximization
  • Traffic network design software based on subjective welfare maximization
  • Traffic network design software based on subjective welfare maximization

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Embodiment Construction

[0426] Figure 4 The Nguyen-Dupis network shown is widely used for method validation in various transportation studies. Table 1 presents link parameters, including free flow travel time, link capacity, and link length. There are two origin areas 1 and 4 and two destination areas 2 and 3 in the Nguyen-Dupis network. Assume that during the peak hours, the potential travel demands of the departure area 1 and 4 are 2000pcu / h and 3000pcu / h respectively. That is to say, O 1 =2000pcu / h and O 4 =3000pcu / h.

[0427] Table 1. Link parameters of the Nguyen-Dupuis network

[0428]

[0429] There are many explanatory variables in the nested logit model of trip-destination combination choice. However, as a simulation study, we consider only the most important variable, the OD travel time t rs and the number of employees at destination s em s . For example, the system utility Y of a representative individual living in origin 1 12 and Y 13 is assumed to be:

[0430]

[0431] T...

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Abstract

Traffic network design software based on traveler subjective welfare maximization is developed by adopting an R language. From the algorithm, the traffic network design software is a double-layer model, the upper layer of the model is used for achieving maximization of subjective welfare of travelers under a given investment budget, and the lower layer of the model is a feedback process between aNested Logit model and a user equalization model. Because a discrete selection model is adopted for travel demand prediction, subjective welfare of travelers can be measured. However, solving of a double-layer model is very challenging, a global optimal solution is difficult to obtain through a traditional optimization algorithm, and the software designs a simulated annealing algorithm to find theoptimal solution. In terms of development language, R language open source is free, matrix language algorithm efficiency is high, and the software can be easily used by researchers and the industry.Simulation research shows that the method can effectively find the traffic network design with the largest subjective welfare of travelers under the given investment budget.

Description

Technical field: [0001] The invention adopts R language to develop a traffic network design method based on subjective well-being maximization, which belongs to the technical field of traffic engineering. Background technique: [0002] User-centric mobile service is one of the emerging mobile services in the future. Different from traditional vehicle-centric mobile services, it advocates mobile solutions centered on improving user experience. While there are many ways to measure user experience, subjective well-being or social well-being is the most common metric. High well-being implies positive experiences for individuals or groups, while low well-being is associated with negative experiences. Well-being research is divided into subjective well-being research and objective well-being research. Objective well-being usually refers to consumer surplus at the aggregate level. It is defined as the difference between the total amount consumers are willing or able to pay for ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/04G06Q50/30G06F8/10G06F8/61
CPCG06Q10/047G06F8/10G06F8/61G06Q50/40Y02T10/40
Inventor 林宏志尹璐
Owner SOUTHEAST UNIV
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