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In order to monitor the evolution of traffic on main city roads, a fixed-point data monitoring system is devised.
This paper investigated the inherent principles of spatial-temporal evolution of traffic congestion based on Shenzhen floating car data (FCD) and geo-simulation platform.
The focus of this paper is to model the evolution of traffic congestion caused by the demand from residential place to the famous resorts during public holidays.
The paper concludes with an assessment of long-run trends in travel demand and technology that could alter the evolution of traffic congestion and priorities for road pricing and investment.
This paper focuses on forecasting energy consumption in the access part of NGNs by modelling the combined effect of the deployment of two different ultra-broadband technologies (FTTH-GPON and LTE), the evolution of traffic per user, and the energy consumption in each of the networks and user devices.
It can be found that the improved car-following model can describe the phase transition of traffic flow and estimate the evolution of traffic congestion, and that taking relative velocity fluctuation into account in designing the advanced adaptive cruise control strategy can improve the traffic flow stability and reduce fuel consumptions.
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Among trafficking-associated proteins, the Rab family expanded most in evolution, suggesting that it provided the primary diversification element in the evolution of trafficking [ 10].
Through relaxing the behavior assumption adopted in Smith's model (Smith, 1984), we propose a discrete dynamical system to formulate the day-to-day evolution process of traffic flows from a non-equilibrium state to an equilibrium state.
In consideration of the day-to-day trip-making decisions of travelers, a perception-updating-based stochastic dynamic assignment model is proposed to describe the evolution of the traffic network flow pattern.
We develop an agent based model that simulates day-to-day evolution of road traffic on a simple binary road network, where the behavior of agents is reinforced by their previous experiences.
This timespan was selected, since within this period sufficiently fair estimations can be done concerning the evolution of the traffic flows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com