Traffic Multiresolution Modeling and Consistency Analysis of Urban Expressway Based on Asynchronous Integration Strategy

Abstract

The paper studies multiresolution traffic flow simulation model of urban expressway. Firstly, compared with two-level hybrid model, three-level multiresolution hybrid model has been chosen. Then, multiresolution simulation framework and integration strategies are introduced. Thirdly, the paper proposes an urban expressway multiresolution traffic simulation model by asynchronous integration strategy based on Set Theory, which includes three submodels: macromodel, mesomodel, and micromodel. After that, the applicable conditions and derivation process of the three submodels are discussed in detail. In addition, in order to simulate and evaluate the multiresolution model, "simple simulation scenario" of North-South Elevated Expressway in Shanghai has been established. The simulation results showed the following. (1) Volume-density relationships of three submodels are unanimous with detector data. (2) When traffic density is high, macromodel has a high precision and smaller error and the dispersion of results is smaller. Compared with macromodel, simulation accuracies of micromodel and mesomodel are lower but errors are bigger.(3) Multiresolution model can simulate characteristics of traffic flow, capture traffic wave, and keep the consistency of traffic state transition. Finally, the results showed that the novel multiresolution model can have higher simulation accuracy and it is feasible and effective in the real traffic simulation scenario.

[Retracted] A Data‐Driven Control Strategy for Urban Express Ramp

“…Currently, the commonly used micromodels include car following and lane changing models; the macromodel mainly discusses the relationship between the three elements of traffic flow (flow, speed, and density) and uses it as a basis to describe the general traffic characteristics of the road, which is specifically expressed as the temporal and spatial changes and distribution laws of the traffic flow state [18]; the mesoscopic model is between the two, and it has less calculations than the microscopic model and is more expensive than the macroscopic model. High accuracy [19] is suitable for analysing regional traffic conditions. After more than half a century of continuous research, the traffic flow model has developed to a relatively complete level, which can accurately describe the real behavior of traffic flow [20].…”

Mechanism of Road Capacity under Different Penetration Scenarios of Autonomous Vehicles

“…Generally speaking, the driver's personality can be divided into aggressive, steady and cautious, in order to distinguish the difference of them, this paper introduces the parameter 𝜆 into the calculation of the speed difference between two adjacent cars to represent the driver's risk degree. Typically, the driver adjusts its speed based on the relative conditions (speed and distance) between itself and the preceding vehicle [4], 𝜆 𝑖 𝑣 𝑖 represents his estimated speed of the preceding vehicle, a higher 𝜆 means a more adventurous driver. According to the relevant literature [20], 𝜆 ∈ [0.7, 0.9].…”

“…Traffic simulation can reflect the real traffic phenomenon by testing various traffic scenarios, which is the most appropriate method to analyse the characteristics of vehicle driving behaviour [1,2]. Traffic simulation technology can be classified as macro, meso and micro according to the granularity [3,4]. In recent years, many scholars all over the world have studied the mixed traffic flow of autonomous penetration scenarios by building traffic simulation platforms and using microscopic models.…”