Showing 1 - 10 of 14
In narrow waterways, closed ships might interact due to hydrodynamic forces. To avoid clashes, different lane-changing rules are required. In this paper, a two-lane cellular automata model is proposed to investigate the traffic flow patterns in narrow water channels. Numerical experiments show...
Persistent link: https://www.econbiz.de/10011264527
Empirical mode decomposition (EMD) method can decompose any complicated data into finite ‘intrinsic mode functions’ (IMFs). In this paper, we use EMD method to analyze and discuss the structural properties of complex networks. A random-walk method is used to collect the data series of...
Persistent link: https://www.econbiz.de/10010873009
We present a simple control method to suppress the traffic congestion in the coupled map car-following model under open boundary, based on the pioneer work of Konishi et al. [Coupled map car-following model and its delayed-feedback control, Phys. Rev. E 60 (1999) 4000–4007]. Theoretically, it...
Persistent link: https://www.econbiz.de/10010589858
In this paper, we use a two-lane CA traffic model to simulate the multi-way traffic flow. A kind of control signal that can be considered as a perturbation is designated at a given site (i.e., signal point) of the right lane. Under the effect of control signal, the velocity of vehicle passing...
Persistent link: https://www.econbiz.de/10010591272
Many algorithms have been presented to solve the traffic assignment problem. Recently, Bar-Gera introduced the concept of “last common node” into an origin-based algorithm to solve the traffic assignment problem. However, how to find the last common nodes has not been investigated in detail....
Persistent link: https://www.econbiz.de/10011059752
In this work, we propose and study a model for the diffusion of congestion in complex networks. According to the proposed model, the level of congestion on each node will be self-organized into the same value. The diffusion of congestion throughout various networks with different topologies is...
Persistent link: https://www.econbiz.de/10010873331
In this paper, an evolution traffic network model considering the influence of the next-nearest neighbor is constructed. Using the model, we focus on studying the topology of the evolution traffic network in order to understand the traffic dynamics better. First, the influence of the...
Persistent link: https://www.econbiz.de/10010874576
In this work, a type of the evolution network is constructed in the evolution process of traffic flow. We study the influence of the traffic dynamics on the structural properties of the evolution network, and measure the probability distributions and scaling properties of the network. The...
Persistent link: https://www.econbiz.de/10010591171
The volume–capacity ratio (v/c) is one of the most important indexes to measure the congestion of a traffic network. If v/c is very small, the traffic demand is deficient and/or the transportation supply or capacity is surplus, leading to a waste of capacity; on the contrary, a large value of...
Persistent link: https://www.econbiz.de/10011057268
Introducing utility to describe the attractions of nodes in this work, we propose and study a simple asymmetrical evolving network model, considering both preferential attachment and random (controlled by probability p). That is, the utility increment Δui≠Δuj when connecting node i to node...
Persistent link: https://www.econbiz.de/10011058196