Fast simulation for Road Traffic Network
نویسندگان
چکیده
In this paper we present a method to perform fast simulation of large Markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach. Résumé. Dans cet article, nous présentons une méthode pour réaliser des simulations rapides de grands systèmes Markoviens. Cette méthode est basée sur l’utilisation de trois concepts : l’uniformisation de châıne de Markov, une dynamique liée aux événements et la modularité. Une application de trafic urbain illustre les performances de notre approche.
منابع مشابه
Optimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملSimulating the Effects of Type and Spacing of Traffic Calming Measures on Urban Road Capacity
One of the major reasons for accidents is speed. Top of Form Inappropriate speed has been identified as the most important causal factor for serious traffic accidents. Traffic calming measures (TCMs) are engineering measures that are widely implemented to improve road safety by considerably reducing vehicle speed. TCMs have been widely used in urban areas to reduce vehicle flow rat...
متن کاملA fast decomposition approach for traffic control
Real-time road traffic control has been the subject of active research efforts for more than fifty years. In recent years, however, the convergence of ubiquitous sensing with seamless communication technologies has motivated the development of more computationally efficient control methods, able to operate in real-time in a live environment. In this work, we present a fast decomposition method ...
متن کاملBehavioral Analysis of Traffic Flow for an Effective Network Traffic Identification
Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...
متن کاملA simulation optimization framework for the management of congested urban road networks
Deriving optimal traffic management schemes for urban road networks typically relies on the use of complex simulation tools, that capture in detail the behavior of drivers as well as their interaction with the network infrastructure. The integration of these traffic simulators within an optimization framework is an intricate task. Indeed, these simulators can be seen as stochastic nonlinear fun...
متن کاملPrediction Simulation Study of Road Traffic Carbon Emission Based on Chaos Theory and Neural Network
Study the road traffic carbon emission and accurately predict the problems, the road traffic carbon emission has the complex systems of chaos and nonlinearity, the traditional method ignores the chaos of the road traffic carbon emission change, and it is so difficult to precisely control the rules of the road traffic carbon emission change that the precision of the of traffic carbon emission pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- RAIRO - Operations Research
دوره 35 شماره
صفحات -
تاریخ انتشار 2001