Path Selection Method Based on Asymmetric Discrete Choice Model
A technique of discrete selection and path selection, applied in data processing applications, forecasting, instruments, etc., can solve the problems that it is not suitable to directly estimate the asymmetric parameters of the model, the number of paths is different, etc.
Active Publication Date: 2021-11-09
SOUTHEAST UNIV
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However, in route choice modeling, the number of routes in each traveler's choice set is different, so it is not suitable to directly estimate the asymmetric parameters in the model, so some adjustments are required
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[0024] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.
[0025] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0026] refe...
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The invention discloses a path selection method based on an asymmetric discrete selection model, which considers the phenomenon that the selection probability varies with the utility function inhomogeneously in the path selection modeling. Asymmetric discrete choice models, including complementary logarithmic model, Scobit model and non-uniform Logit model, all have closed-form choice probability functions. When performing route selection modeling, the expression of the asymmetric discrete choice model is determined according to the route in the traveler's choice set, and the maximum likelihood method is used to estimate the model. Attribute perception and preference. The test of GPS trajectory data shows that the fitting effect of the asymmetric model is better than that of the traditional Logit model, which verifies the validity of the route selection method. The invention can better describe the actual travel behavior, explains the phenomenon of category imbalance in route selection modeling, and has positive significance in optimizing road resource allocation.
Description
technical field [0001] The invention relates to the technical field of path selection, in particular to a path selection method based on an asymmetric discrete selection model. Background technique [0002] Route selection studies the specific behavior of travelers between origin and destination in a transportation network, which is an important part of traffic behavior analysis and traffic allocation. Routing modeling is challenging but has promising applications, including evaluating traveler perception of route characteristics, predicting traveler behavior in what-if scenarios, predicting traffic conditions on transportation networks, and understanding traveler responses to information sources and adaptation etc. [0003] Currently, the multinomial Logit (MNL) model based on random utility theory is widely used in path selection modeling. One of the important characteristics of the model is based on the point where the selection probability is 50%. When the system utili...
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IPC IPC(8): G06Q10/04G06F16/9537
CPCG06Q10/047G06F16/9537
Inventor 李大韦冯思齐宋玉晨任刚杨敏刘向龙
Owner SOUTHEAST UNIV