Traffic Flow by Cellurar Automata: the Effect of Maximal Car Velocity
نویسنده
چکیده
Effects of large value assigned to the maximal car velocity on the fundamental diagrams in the Nagel-Schreckenberg model are studied by extended simulations. The function relating the flow in the congested traffic phase with the car density and deceleration probability is found numerically. Properties of the region of critical changes, so-called jamming transition parameters, are described in details. The basic model, modified by the assumption that for each car an individual velocity limit is assigned, is investigated in the aim to find the best supplementary rule allowing the jammed traffic to move with velocity larger than the slowest driving vehicle. PACS: 89.40.+k, 05.60.-k, 05.65.+b 45.70.Vn
منابع مشابه
A Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network
Car following process is time-varying in essence, due to the involvement of human actions. This paper develops an adaptive technique for car following modeling in a traffic flow. The proposed technique includes an online fuzzy neural network (OFNN) which is able to adapt its rule-consequent parameters to the time-varying processes. The proposed OFNN is first trained by an growing binary tree le...
متن کاملar X iv : c on d - m at / 9 51 10 37 v 1 7 N ov 1 99 5 CELLULAR AUTOMATA FOR TRAFFIC FLOW : ANALYTICAL RESULTS
We use analytical methods to investigate cellular automata for traffic flow. Two different mean-field approaches are presented, which we call site-oriented and car-oriented, respectively. The car-oriented mean-field theory yields the exact fundamental diagram for the model with maximum velocity vmax = 1 whereas in the site-oriented approach one has to take into account correlations between near...
متن کاملFuzzy Sliding Mode Control System Design for Car- Following Behavior in Real Traffic Flow
In this paper a control system has been designed to improve traffic conditions in car following maneuver. There are different methods to design a control system. In this paper design approach is based on the Fuzzy sliding mode control (FSMC) system. The aim of designing FSMC system is to achieve safe and desire longitudinal distance and less lateral displacement. In orde...
متن کاملPrediction of Car Following Behavior Based on the Instantaneous Reaction Time using an ANFIS-CART Based Model
Car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. Until now, several carfollowingmodels have been proposed. An obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. In th...
متن کاملTraffic Flow Models and the Evacuation Problem
In our paper, we consider several models for traffic flow. The first, a steady state model, employs a model for car following distance to derive the a traffic flow rate in terms of empirically estimated driving parameters. From this result, we go on to derive a formula for total evacuation time as a function of the number of cars to be evacuated. The steady state model is analytically convenien...
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:
دوره شماره
صفحات -
تاریخ انتشار 2008