The main result of this study is a new mathematical model that describes the traffic flow movement dynamic of several vehicles. The model is represented by a system of delay differential equations. Units of measurement and parameter values are determined for the model. Using numerical methods, the...
A hybrid ANN-PSO model was used in modelling the truck traffic flow due to its ability to converge to optimization quickly. The PSO's features (accelerating factors and number of neurons) assist in evaluating traffic flow conditions (traffic flow, traffic density, and vehicular speed). Also, ...
A gas-kinetic macroscopic traffic flow model was further proposed in [21], based on a car-following one, to describe the dynamics of traffic where vehicles operate in the form of many platoons. A linear stability analysis showed a stabilization of the flow with respect to small perturbations....
The model relies on two behavioral hypotheses: one for “uncongested”, unforced, or “free-flow” traffic conditions; the other for “congested” conditions. 1 These are linked by a segmentation model which recognizes the unobserved character of the traffic regime (uncongested versus congested)....
public final class TrafficFlow implements JsonSerializable<TrafficFlow> Class representing a Traffic Manager HeatMap traffic flow properties. Constructor Summary 展開表格 ConstructorDescription TrafficFlow() Creates an instance of TrafficFlow class. Method Summary 展開表格 Modifier and TypeMethod and De...
traffic flow 美 英 un.客运流量;运输流量;交通流;交通量 英汉 网络释义 un. 1. 客运流量 2. 运输流量 3. 交通流 4. 交通量 5. 信号流
A phantom traffic jam is an emergent phenomenon whose behavior takes on a life of its own, greater than the sum of its parts.幽灵堵车是一种突发现象，很难加以控制， 且整体状况比各部分之和还糟糕。But in spite of this, we can actually model these jams, even understand the principles that ...
After a long and hard training, you will get a good traffic flow prediction model,please try to run the [test.py], You need to pay attention that the model takes up a lot of video memory, so there is no need to feed too much data at one time, please modify line30 and line31 ac...
(STGC) to model the global and dynamic spatial dependence, which can capture a stable causal relationship between nodes underlying dynamic traffic flow. The STGC can be detected by a spatial-temporal Granger causality test methods proposed by us. We chose T-GCN, STGCN and Graph Wavenet as bak...
In this paper a direct simulation Monte Carlo (DSMC) method is applied to a spatial homogeneous mesoscopic vehicular traffic flow model, based on a Boltzmann-like master equation. In contrast to gas kinetics, where in a collision a velocity jump change occurs, the interaction now changes the ac...