Congestion charging optimal toll rate determining method based on trial-and-error method and motor vehicle flow

Abstract

The invention discloses a congestion charging optimal toll rate determining method based on a trial-and-error method and motor vehicle flow. The optimal toll rate can be obtained through adjustment on the basis of vehicle flow data of each entrance road section in a charging region. For the optimal charging scheme, the congestion charging optimal toll rate determining method adopts a set of strict mathematical proof to establish the ''trial-and-error method'' for toll rate adjustment, so as to ensure that the method can be used for converging the optimal toll rate. The congestion charging optimal toll rate determining method comprises the steps of: (1) evaluating each available congestion charging pattern by utilizing a stochastic user equilibrium theory based on an asymmetric road section travel time equation; (2) establishing a monotonous and continuous variable inequality model for forecasting network equilibrium flow; (3) and determining step length of adjustment and a charging rate value of each step by utilizing a projection algorithm for solving the variable inequality model.

Description

technical field [0001] The invention relates to a method for determining the optimal charging rate of congestion charging according to the trial-and-error method and motor vehicle flow data at the entrance section of the charging area, belonging to the field of urban traffic management and control. Background technique [0002] Traffic congestion has always been the main problem of urban traffic operation. It not only makes many drivers frustrated with urban traffic, but also pollutes the urban environment and increases social costs. Traffic congestion increases travel time, increases travel time uncertainty, generates air and noise pollution and reduces social productivity. Congestion pricing is considered an important tool for urban traffic managers to manage traffic demand and divert bus ridership. Many existing studies focus on how to determine the optimal congestion charging rate. First (no restriction on charging locations) and second (only charging on part of the ne...

AI Technical Summary

Problems solved by technology

[0004] In general, although the existing research has achieved good results in theory, many of the methods for determining the congestion charging rate are not suitable for practical applications, mainly because they require accurate data on many transportation network attributes, including the travel demand equation , the link travel time equation and the time value of traffic network users

For the entire transportation network, these data are difficult to obtain

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