Traffic Flow Control System Research Articles

The Intelligent Traffic Flow Control System Based on 6G and Optimized Genetic Algorithm

The Intelligent Traffic Flow Control System Based on 6G and Optimized Genetic Algorithm

IMPLEMENTATION OF INTELLIGENT AUTOMATIC CONTROL OF TRAFFIC FLOWS IN URBAN AREAS OF REGULATION BASED ON THE USE OF FUZZY MODELS

The article deals with the implementation of automatic traffic control of automobile flows in urban areas of regulation based on the use of fuzzy models. The relevance of the topic of the article is due to the problem of traffic management in the Smart City ecosystem. Traffic flow control is a complex dynamic task, for the solution of which it is proposed to use artificial intelligence methods for processing fuzzy knowledge. The article proposes a model of a traffic flow control system at an intersection based on the use of fuzzy knowledge. Knowledge processing in the system is carried out by the module “Fuzzy Controller”. The input data for the fuzzy controller is information about the number of cars that have passed and information about the current duration of the traffic light phases. The fuzzy controller has a number of output variables corresponding to the number of phases of the traffic light. The fuzzy controller is implemented by means of the fuzzy sets apparatus. The system solves the following tasks: tracking the increase in traffic in the regulation zone; tracking the approach of the flow density on all streets of the regulation zone to the critical one; collecting information about the filling of the road departing from the intersection; implementing indirect unloading of the road section after the intersection, implementing management in transit sections of the city. To increase the efficiency of the model, an improved traffic management process is proposed within the framework of a single intersection, which takes into account traffic situations after the intersection. This approach has a positive impact on traffic in the regulated area due to the decentralized structure of the system consisting of such controlled intersections. The authors also implement the priorities of the directions of movement within the framework of the proposed model. Priorities are set when setting up the system at each of the traffic lights and allow you to speed up the circulation of traffic within the control zone.

ПОКРАЩЕННЯ БЕЗПЕКИ ДОРОЖНЬОГО РУХУ ЗА ДОПОМОГОЮ АВТОМАТИЗОВАНОГО УПРАВЛІННЯ ДОРОЖНІМ РУХОМ

The article considers automated traffic flow control systems, their classification and description. Based on the above, it can be argued that traffic control systems have the characteristics of distributed, discrete and non-stationary complex systems used to solve traffic control problems by modern means of information and computer technology. The object of research is to improve traffic control with the help of automated control systems Purpose - analysis of automated traffic management systems With the rapid growth of the car fleet, there is an overload of the street and road network of cities. Even today, the street and road network does not meet the requirements for the organization and safety of road traffic. A survey of traffic flows shows that the road network operates at the capacity limit, and in some places exceeds this limit. The main reason for this transport situation in cities is the mismatch between the level of motorization and the density of the road network. Therefore, to improve, improve traffic control, it is proposed to use automated traffic management systems. But first you need to analyze them in detail. It is noted that the efficiency of the street and road network depends entirely on the effective balanced operation of all its elements. KEYWORDS: CAR, AUTOMATED SYSTEMS, ROAD TRANSPORT MANAGEMENT SYSTEMS, TRANSPORT NETWORK, TRANSPORT FLOW.

Boundary observer-based control for hyperbolic PDE–ODE cascade systems with stochastic jumps

This work is concerned with the boundary observer-based control for a category of cascade systems with stochastic jumps. The cascade system consists of ordinary differential equations (ODEs) entering the hyperbolic partial differential equations (PDEs) through the boundary. A continuous-time, discrete-state homogeneous Markov process models the jumping parameters of the system, and its right continuous trajectory candidate values are taken from a finite set. A boundary observer is designed, which relies only on limited quantity of sensors at the boundary of the PDEs. Based on the Lyapunov functional approach, the observer-error system is firstly proved to be exponentially mean square stable. Then, the controller is presented by utilizing the estimated states of the ODEs as feedback variables. The evolution profiles of the PDEs in the closed-loop are proved to be exponentially mean square stable at the desired steady-state. The existence conditions of the boundary observer and the stability conditions of the PDEs in the closed-loop form are presented via a set of compact space-varying linear matrix inequalities (SVLMIs). The SVLMIs are then approximated by a finite number of LMIs, which guarantee the SVLMIs, and the computational cost is reduced greatly. Finally, the obtained theoretical results are applied to a traffic flow control system, which confirms that the proposed estimation and control methods are effective.

Functional model of expert traffic flow control system within high-speed transportation corridors

Recently, the number of vehicles on the roads has increased significantly, including within high-speed transportation corridors. Furthermore, the volume of cargo transportation increases annually not only within the country, but also between different countries. Taking into account these factors, as well as the possibility that unmanned vehicles will soon appear within high-speed transportation corridors, it is necessary to develop intelligent transportation systems that will effectively control traffic flows. Traffic flows are controlled by directional changes in its capacity. In order to interact with road users and road infrastructure, it is necessary to develop an expert system that will make recommendations using the predicted capacity value and information about the current value of the parameters describing the high-speed transport corridor. The article presents a neuro-fuzzy model for predicting capacity by known system parameters and conditions of its functioning, built using the concept of mathematical remodeling. There is also given the results of Sensitivity Analysis based on applying Analysis of Finite Fluctuations depending on external factors. In addition the conceptual and functional models of the developed expert system for regional intelligent transportation system module are proposed.

Research on the intellectual traffic flow control system based on multi-agent along with self-governing vehicle and system of wireless sensor network

The manuscript proposes a novel way to deal with progressively deal with the movement lights cycles and stages in a secluded crossing point. The objective of the work is a framework that offers enhanced execution is adaptable and can be actualized on not well designed components. The proposed framework joins the upsides of the wireless sensor network with the advantages of utilizing quad parallel fuzzy regulators, at is improved execution, adaptation to non-critical failure, and backing for stage particular administration. Reproduction results demonstrate that the proposed framework beats different arrangements in the writing, altogether sinking vehicles holding up times. With a specific end goal to depict the usage process instinctively and framework administration are quickly acquainted and connected with the execution of a self-governing driving framework. We can inspect the upsides of conveyed framework design and the proposed advancement process by directing a contextual investigation on the self-governing framework execution.

Research on the intellectual traffic flow control system based on multi-agent along with self-governing vehicle and system of wireless sensor network

The manuscript proposes a novel way to deal with progressively deal with the movement lights cycles and stages in a secluded crossing point. The objective of the work is a framework that offers enhanced execution is adaptable and can be actualized on not well designed components. The proposed framework joins the upsides of the wireless sensor network with the advantages of utilizing quad parallel fuzzy regulators, at is improved execution, adaptation to non-critical failure, and backing for stage particular administration. Reproduction results demonstrate that the proposed framework beats different arrangements in the writing, altogether sinking vehicles holding up times. With a specific end goal to depict the usage process instinctively and framework administration are quickly acquainted and connected with the execution of a self-governing driving framework. We can inspect the upsides of conveyed framework design and the proposed advancement process by directing a contextual investigation on the self-governing framework execution.

A Fault-Tolerant Batch Verification Scheme for Cloud Assisted VANETs

Vehicular ad hoc network (VANET) has been brought out to revolutionize driving experiences and traffic flow control systems. In a VANET, roadside units (RSUs) are usually used to collect messages sent by nearby vehicles, which may include status information of vehicles and emergency events. Currently, batch verification is considered as an effective approach to verify these messages in VANETs. However, in existing batch verification scheme, the batch verification fails even one of the signed messages is invalid. In this paper, we introduce an efficient identity-based fault-tolerant batch verification scheme for cloud assisted VANETs.

Capacity and safety analysis of hard-shoulder running (HSR). A motorway case study

Operational motorway conditions can be improved by introducing traffic flow management and control systems, such as ramp metering (RM), high occupancy vehicle (HOV) lanes, real-time variable speed limits (VSLs), reversible lanes (RL), automated highway systems (AHS) and hard-shoulder running (HSR). The effects of such devices need to be examined in terms of capacity and safety. This paper examines the case study of the Italian motorway A22, which is supposed to be equipped with an HSR system implemented along 128km in order to reduce congestion with consequent improvement in levels of service (LOS). We studied the traffic processes (capacity, flow distribution between lanes, reliability, etc.) and estimated the expected capacity and safety conditions. These latter were studied with the method provided by the Highway Safety Manual (HSM), as well as by undertaking sensitivity analyses to quantify the expected changes in crash frequency at varying HSR activation hours (from 30 to 200h) in a year. It has been observed that HSR activation does not involve significant variations in the general safety conditions in the presence of a considerable capacity increase up to 35%. Moreover, have been identified the cases which require speed limit implementation (with VSLs system) in function of the values of reliability ϕ and velocity process V‾, and also suggested a speed limit sign system.

Impossible Differential Fault Analysis on the LED Lightweight Cryptosystem in the Vehicular Ad-Hoc Networks

With the advancement and deployment of leading-edge telecommunication technologies for sensing and collecting traffic related information, the vehicular ad-hoc networks (VANETs) have emerged as a new application scenario that is envisioned to revolutionize the human driving experiences and traffic flow control systems. To avoid any possible malicious attack and resource abuse, employing lightweight cryptosystems is widely recognized as one of the most effective approaches for the VANETs to achieve confidentiality, integrity and authentication. As a typical substitution-permutation network lightweight cryptosystem, LED supports 64-bit and 128-bit secret keys, which are flexible to provide security for the RFID and other highly-constrained devices in the VANETs. Since its introduction, some research of fault analysis has been devoted to attacking the last three rounds of LED. It is an open problem to know whether provoking faults at a former round of LED allows recovering the secret key. In this paper, we give an answer to this problem by showing a novel impossible differential fault analysis on one round earlier of all LED keysize variants. Mathematical analysis and simulating experiments show that the attack could recover the 64-bit and 128–bit secret keys of LED by introducing 48 faults and 96 faults in average, respectively. The result in this study describes that LED is vulnerable to a half byte impossible differential fault analysis. It will be beneficial to the analysis of the same type of other iterated lightweight cryptosystems in the VANETs.

An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

This study primarily focuses on the use of radio frequency identification (RFID) as a form of traffic flow detection, which transmits collected information related to traffic flow directly to a control system through an RS232 interface. At the same time, the sensor analyzes and judges the information using an extension algorithm designed to achieve the objective of controlling the flow of traffic. In addition, the traffic flow situation is also transmitted to a remote monitoring control system through ZigBee wireless network communication technology. The traffic flow control system developed in this study can perform remote transmission and reduce traffic accidents. And it can also effectively control traffic flow while reducing traffic delay time and maintaining the smooth flow of traffic.

On the Design of the TCP/AQM Traffic Flow Control Mechanisms

Several aspects of the TCP/AQM system design are discussed that may affect performance of the network. Namely, due to decentralized structure of the network traffic flow control system in which traffic rate control tasks are delegated to autonomous agents, it may be possible for the agents to profitably re-engineer the TCP congestion control algorithm at the cost of the overall performance of the network. In this paper it is shown how the commonly applied TCP/AQM design procedures may give rise to mechanisms that are prone to attacks discreetly moving the network traffic flow away from the desired operating point. Furthermore, a short discussion is presented concerning the countermeasures that can be taken to reduce these effects.

Q 학습을 이용한 교통 제어 시스템

A flexible mechanism is proposed in this paper to improve the dynamic response performance of a traffic flow control system in an urban area. The roads, vehicles, and traffic control systems are all modeled as intelligent systems, wherein a wireless communication network is used as the medium of communication between the vehicles and the roads. The necessary sensor networks are installed in the roads and on the roadside upon which reinforcement learning is adopted as the core algorithm for this mechanism. A traffic policy can be planned online according to the updated situations on the roads, based on all the information from the vehicles and the roads. This improves the flexibility of traffic flow and offers a much more efficient use of the roads over a traditional traffic control system. The optimum intersection signals can be learned automatically online. An intersection control system is studied as an example of the mechanism using Q-learning based algorithm, and simulation results showed that the proposed mechanism can improve the traffic efficiency and the waiting time at the signal light by more than 30% in various conditions compare to the traditional signaling system.

Automated traffic light system for road user's safety in two lane road construction sites

The road construction safety traffic light system is designed to replace a manual traffic control on a road construction sites. This device can replace one or both flaggers during the two lane closures on the event of a road construction. The road construction safety traffic light system is considered one of the best devices in work zone traffic flow control systems. The device is a portable traffic light unit which can be best utilized in controlling traffic flow in a road construction site for long term or short term lane closures and to control two-way traffic in a single lane. By implementating new technologies in automating traffic flow in road construction site could possibly eliminate the usage of a conventional flagman at all times. The road construction safety traffic light system is a practical solution to solve problems which contribute towards hazards at road construction site and to be inline with the road safety regulation which is taken into granted by the contractors. The automated portable traffic light system can reduce direct costs in man power utilization and increase safety for the road users and construction workers by eliminating the need for a human flagmen. This system is applicable for public and privately funded road construction projects that require overnight or 24-hour traffic control as well as in different weather conditions.

CONTROL OF TRAFFIC FLOW DYNAMICS IN URBAN ROAD NETWORKS

This paper studies a control of traffic flow dynamics in urban road networks. The signal control system of the congestion length is described by a nonlinear time-varying discrete dynamic system and synthesized by using the hierarchical control. A signal control algorithm in which the three signal control parameters consisting of the cycle length, green split and offset are searched systematically so as to minimize the sum of congestion lengths in the urban road network is presented. The dynamic route guidance system is consisted of both the evaluation for the mean OD travel time and the route search algorithm. The traffic flow control system, which is most effective to reduce the congestion lengths in urban road networks, is designed by connecting the signal control system with the dynamic route guidance system in real time.

Vehicular tunnel traffic-flow control

A description of an operational vehicular tunnel traffic-flow control system is presented. Using photoconductive cells as vehicle detectors in the Lincoln Tunnel South Tube and a fixed logic hardware controller to activate traffic signals and signs at the tunnel entrance, traffic is metered in a manner which results in less congestion. The vehicle detectors use wall-mounted high-intensity light sources aimed at a cell which is located below a hole in the tunnel roadway. The cell is hard-wire connected to the logic controller. The controller, using discrete solid-state components, determines the number of vehicles between two points in a tunnel lane; in addition the controller calculates the speed of each vehicle at both points. Using these parameters, the controller decides if the entering traffic-flow rate should be lowered. If a decrease in the rate is warranted, amber traffic signals and a sign which states "pause here-then go" is then energized. When the threat of possible congestion is alleviated, the entrance controls are automatically de-energized by the controller. A comprehensive traffic-flow control and stoppage-detection system now being implemented is also discussed. This system will employ four small-scale digital computers working in pairs at both the Holland and Lincoln Tunnels. Basic raw data will come from both induction-loop vehicle detectors and photocell vehicle detectors arranged in alternating pairs at seven points in each of the ten traffic lanes comprising the two facilities. Output will consist of control signals to entrance traffic devices, as well as alarms designed to draw the attention of facility personnel to one of nine or more television monitors per tube showing the area of a detected stoppage.