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In the massive activities of cities, rush hour is short while traffic flow is great. Traffic flow is unbalanced on time and space. If the measure of traffic control is not right, the traffic is affected badly. In this paper, a bi-level programming model about traffic control measure is brought forward. In upper level, providing key member with high transportation service is first thought over, and...
The paper analyzes the necessary to partition urban traffic signals into different sub-areas firstly. Then a new optimal model is built and an optimal control algorithm based on sub-area partition is proposed for urban traffic signals. In order to gain minimal delay time of vehicles, HCM2000 is used and famous Robertson model is embedded in the optimization process, which can guarantee the proposed...
Urban network traffic is a complex, nonlinear, unstable system and is significantly affected by immeasurable factors. This paper presents an optimal model to the application of signal coordination for urban network based on real-time traffic volumes. It divides a large signalized network into several subgroups. The number of subgroups, phase-time and offsets can be optimized to achieve an optimal...
An optimization model to the application of signal coordination for traffic arterials based on multi-group partition is proposed. The approach divides a large signalized arterial into subgroups with three to five signals in each subgroup according to actual traffic conditions. In each subgroup, signal coordination between neighboring intersections is built by a common cycle and offsets. A case study...
In this paper, the authors propose two modified temperature-dependent equivalent circuit models for single- and double-walled carbon nanotube (SWCNT & DWCNT) interconnects at first, and the temperature effect on crosstalk in SWCNT and DWCNT interconnects are investigated, respectively. The crosstalk-induced delay and noise of these novel interconnects are characterized numerically over a temperature...
Based on the analysis of the standard Particle Swarm Optimization and the characteristic of typical multi-intersection for urban trunk road, a traffic flow forecasting model using dynamic recursion neural network is presented. The feature of this network is that the output of the hidden layer connects to the input of itself through the delay and storage of the context layer. The method of self-connection...
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