Monthly dynamic congestion charging method considering decision inertia of travelers
A technology for congestion charging and travellers, which is applied in traffic control systems, instruments, and traffic flow detection of road vehicles. It can solve problems such as brain-consuming, incomplete conformity with traditional models, and impact on the feasibility of the continuity project of the congestion charging method. To achieve the effect of improving continuity
Active Publication Date: 2021-08-24
SOUTHEAST UNIV
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Problems solved by technology
However, in reality, everyone has a certain degree of mental inertia, and some travelers (especially commuters) are not used to making such decisions every day because they think it is a boring and mentally draining process, and they may The same path will be used for consecutive days without any evaluation
As a result, the assumptions of traditional models do not exactly match the reality
[0004] And the current day-to-day dynamic charging theory is to formulate the congestion charging mode for the next day by using the road traffic observed every day, and finally make the whole system evolve to the optimal state, but this charging method needs to change the congestion charging fee every day. It is easy to arouse the resentment of travelers, and it will affect the continuity of the congestion charging method and the engineering feasibility
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[0049] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0050] refer to figure 1 , the method provided by the invention comprises the steps:
[0051] Step 1: Obtain the decision inertia of each traveler who appears in the target traffic network in the current month, and divide each traveler into multiple categories according to the decision inertia; the decision inertia is the number of days between travelers re-evaluating the travel route ; Then go to step 2.
[0052] Organize a traffic survey to determine the number of travelers in the traffic network this month m, the inertia mode H i i∈M={1,2,...m}, each type of traveler is represented by i, M={1,2,...,m} is the set of traveler types, namely: H i is the inertia mode of the i-th type of travel...
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The invention discloses a monthly dynamic congestion charging method considering the decision inertia of travelers, and the method comprises the steps: dividing the travelers into a plurality of types according to the decision inertia of each traveler in a traffic network, and obtaining the actual road flow and charging parameters of each traveler on each road in the traffic network in the current month, and in combination with the constructed congestion fee collection model, obtaining congestion fees collected on each road section in the traffic network in each month after the current month. According to the method provided by the invention, the congestion charging mode of the next month is determined according to the road section dynamic charging parameters generated by model automatic evolution of travelers in the current month under the influence of decision inertia, so that the continuity of congestion charging policies and the feasibility of engineering are improved.
Description
technical field [0001] The invention relates to the technical field of road congestion charging, in particular to a month-by-month dynamic congestion charging method considering traveler decision-making inertia. Background technique [0002] Road congestion charging is currently one of the most effective economic means to alleviate traffic congestion in urban central areas, and the key is to determine a reasonable congestion charging model. The traditional road congestion charging is based on the static traffic distribution theory, which pays more attention to the final equilibrium state generated by the travel choice behavior of travelers, without considering the impact on future traffic evolution. The daily dynamic evolution model of traffic flow can simulate the dynamic evolution process of network traffic flow, and it can better reflect the time-varying and randomness of traffic flow in the network than the traffic allocation model. [0003] The traditional day-to-day d...
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Login to View More IPC IPC(8): G07B15/06G08G1/01G08G1/065
CPCG07B15/06G08G1/0125G08G1/0129G08G1/065
Inventor 周博见崔少华张浩何杰张永陈洁
Owner SOUTHEAST UNIV