Traffic Command Research Articles

Vessel traffic scheduling method for the controlled waterways in the upper Yangtze River

An Inland Waterway Transportation System is often claimed to be safe, efficient and economic. However, traffic congestion and vessel collision have become serious threats to marine safety, especially in the one-way waterways. The aim of this paper is to rank the vessels in the controlled waterways of the upper Yangtze River and to generate the optimal traffic commands for each vessel so as to ensure marine safety and traffic efficiency. In this study, the proposed approach is based on the combination of Fuzzy Analytical Hierarchy Process (FAHP) with an Expert System (ES). Vessel data collected from Automatic Identification Systems (AIS) are first analyzed by experts, and some external environment and internal factors are selected as Significant Influencing Factors (SIFs). FAHP is then used for modelling a hierarchical structure and determining the weight of each SIF. Finally, the sorted vessel sequence and appropriate traffic commands can be achieved using ES. The experiment result shows that the waiting time of vessels is averagely decreased about 22 min compared with the existing Traffic Signal Revealing System. This will not only significantly improve the efficiency and accuracy of the vessel traffic scheduling, but also increase the waterway capacity by reducing the travelling time.

The establishment of pre-hospital and in-hospital first aid rapid linkage treatment platform of emergency patients

Objective To establish a pre-hospital and in-hospital first aid rapid linkage treatment platform in order to provide quick rescue time for emergency patients. Methods The interconnection first aid APP was made. The emergency center and traffic command center were combined to participate in first aid. The traffic command center controls the traffic lights in real time to provide the optimal transportation path for the emergency patients. The first aid center carries out preliminary treatment, and shares the patient information to the hospital in real time to make the most suitable doctors waiting for the consultation. The therapeutic effects of patients with acute critical disease before and after the platform applied was compared. Results It has realized the tripartite information linkage between the hospital, the emergency center and the traffic command center. In the experimental group, the pre-hospital emergency response time, the hospital rescue time and the emergency success rate were (16.28±3.08) min, (17.89±5.84) min, 87.85%(217/247), the control groups' pre-hospital emergency response time, the rescue time in hospital and the success rate of acute critical patients were (18.29±1.87) min, (24.84±1.69) min, 63.01% (138/219), the data of two groups were statistically significant (t=3.783, 5.745, χ2=5.404, P<0.05). Conclusions The establishment of pre-hospital and in-hospital first aid rapid linkage treatment platform of emergency patients can optimize the patient first aid survival chain, provide greater rescue opportunities for emergency patients. Key words: Emergency patients; Pre-hospital and in-hospital emergency; Treatment platform

Traffic Command Gesture Recognition for Virtual Urban Scenes Based on a Spatiotemporal Convolution Neural Network

Intelligent recognition of traffic police command gestures increases authenticity and interactivity in virtual urban scenes. To actualize real-time traffic gesture recognition, a novel spatiotemporal convolution neural network (ST-CNN) model is presented. We utilized Kinect 2.0 to construct a traffic police command gesture skeleton (TPCGS) dataset collected from 10 volunteers. Subsequently, convolution operations on the locational change of each skeletal point were performed to extract temporal features, analyze the relative positions of skeletal points, and extract spatial features. After temporal and spatial features based on the three-dimensional positional information of traffic police skeleton points were extracted, the ST-CNN model classified positional information into eight types of Chinese traffic police gestures. The test accuracy of the ST-CNN model was 96.67%. In addition, a virtual urban traffic scene in which real-time command tests were carried out was set up, and a real-time test accuracy rate of 93.0% was achieved. The proposed ST-CNN model ensured a high level of accuracy and robustness. The ST-CNN model recognized traffic command gestures, and such recognition was found to control vehicles in virtual traffic environments, which enriches the interactive mode of the virtual city scene. Traffic command gesture recognition contributes to smart city construction.

HOTSPOTS DETECTION FROM TRAJECTORY DATA BASED ON SPATIOTEMPORAL DATA FIELD CLUSTERING

Abstract. City hotspots refer to the areas where residents visit frequently, and large traffic flow exist, which reflect the people travel patterns and distribution of urban function area. Taxi trajectory data contain abundant information about urban functions and citizen activities, and extracting interesting city hotspots from them can be of importance in urban planning, traffic command, public travel services etc. To detect city hotspots and discover a variety of changing patterns among them, we introduce a data field-based cluster analysis technique to the pick-up and drop-off points of taxi trajectory data and improve the method by introducing the time weight, which has been normalized to estimate the potential value in data field. Thus, in the light of the new potential function in data field, short distance and short time difference play a powerful role. So the region full of trajectory points, which is regarded as hotspots area, has a higher potential value, while the region with thin trajectory points has a lower potential value. The taxi trajectory data of Wuhan city in China on May 1, 6 and 9, 2015, are taken as the experimental data. From the result, we find the sustaining hotspots area and inconstant hotspots area in Wuhan city based on the spatiotemporal data field method. Further study will focus on optimizing parameter and the interaction among hotspots area.

Long-Term Ship Speed Prediction for Intelligent Traffic Signaling

Yangtze River is probably the world's busiest inland waterway. Ships need to be guided when passing through a controlled waterway based on their long-term speed prediction. Inaccurate ship speed prediction leads to nonoptimal traffic signaling, which may cause a significant traffic jam. For the existing intelligent traffic signaling system, the ship speed is assumed to be constant, which has caused many problems and issues. This paper proposes a novel algorithm to construct an improved multilayer perceptron (MLP) network for accurate long-term ship speed prediction, in which the hidden neurons of the MLP are optimized by the particle swarm optimization method. The effectiveness and efficiency of the method are guaranteed by using the orthogonal least squares method, which is the fast approach for the construction of the MLP network in a stepwise forward procedure. The model is driven by easily acquired dynamic data of the ships, including the speed and the position. The effectiveness of the proposed method is further confirmed by comparing with several traditional modeling techniques. To the best of our knowledge, this is the first time that a ship speed model is built for long-term prediction. The experimental results show that the developed model is in good agreement with the real-life data, with more than 97% accuracy. It will help to generate the optimal traffic commands for Yangtze River in an intelligent traffic signaling system.

Design of System to Prevent Drunken Driving Based on GPSGSM Technology

Against drunk driving, this paper puts forward a kind of design scheme of vehicular system to prevent drunk driving based on GPS/GSM technology. The system is at the core of a single chip processor with the use of the alcohol sensor to test the driver's alcohol concentration.alcohol sensor.If alcohol is beyond the limit, cars are banned running and drunk driving information will be sent to the traffic police command monitoring platform through the GPS/GSM technology. The system has the characteristics of integration, human nature, and intelligence.

A Kind of Traffic Light Controller Simulation Design

With traffic problems becoming more prominent issues, directing traffic is no longer can be solved relying solely on human effort. Therefore, the design of traffic lights to complete this demand has become increasingly urgent. In order to ensure vehicular and pedestrian traffic at the crossroads of the smooth, clear through, electronic traffic signal control command is often used. This article describes the use of digital circuits to achieve the design of traffic lights. The paper first describes the design principles of traffic lights and the total circuits, all units were introduced in the total circuits, the final design of the circuit diagram of the test simulation. Simulation results from the experiment can be seen in this article the design of the circuit can be achieved on the control of traffic lights, and simple method for the design of traffic signal controller to provide a certain degree of meaningful research.

Trafik Kazaları Analizi için Bayes Ağları Modeli

― The use of high ways as the major means of transportation in Turkey causes a rapid increase in traffic intensity. As a result of the fact that the current infrastructure is unable to respond this rapid increase of traffic intensity, in addition to the traffic infringements made both by drivers and pedestrians, each year a huge number of traffic accidents occur. To prevent the traffic accidents with tangible and intangible losses resulting from it, and to take the necessary precautions in that purpose, it is necessary to conduct a detailed analysis of traffic accidents and the factors influencing its happening. In this research, traffic accidents and the factors influencing traffic accident occurrences are analyzed via Bayesian networks. As a graphical model, Bayesian networks possess a special importance with its abilities such as showing the conditional dependencies between the variables, not being limited to only one output variable, the ability to update the network through evidence observation and the capability to transfer all these information through a graphical interface. In this research, using the official traffic accident reports obtained from Silivri Regional Branch Office and County Gendarmerie Traffic Command a data set is constructed and the corresponding Bayesian network is learned from this data set. Prediction capability of the network is verified through the test data set and the efficiency of the learned model is confirmed with the lift over marginal resulting as positive. Sensitivity analysis is performed for the variables in the network. The proposed model in this research is an exemplary model to analyze the dependency structure between the effects, causes and outcomes of traffic accidents.

Study on webGIS Traffic Engineering Archives Management System

The goal of this thesis is to realize traffic engineering archives management, only need a few professionals can be realized on the inside area of an under construction and has built the traffic engineering in real time for file management and assessment, to ensure that the system can maximize the play of action, safeguard traffic engineering archives management. Based on the engineering archives management to promote engineering safety, quality, cost, schedule, and information management. Make daily collection of massive project archives data is used for traffic engineering the study, the sudden accident, for the authorities to provide real-time data on the basis of decision-making, reduce accidents caused by social and economic losses, for the Jiangxi province highway traffic safety situation evaluation and emergency command and to provide corresponding reference. At the same time the topic form multidisciplinary teamwork can also through combination of further promoting the Poyang Lake Ecological Economic Zone in the transportation industry personnel training mode of development.

全彩发光二极管交通诱导屏光纤传输系统

An optical fiber transmission system was designed to implement the long-distance and real-time transmission of traffic guidance image data.To overcome the defects of traditional optical terminal machines,a complete system architecture was built according to the needs of the transmission system.The design ideas of a physical layer and a data link layer were analyzed based on Ethernet relative protocol,some design principles of the important modules were also given,then the memory addressing and bandwidth estimation were calculated in details.The test results show that the image data with a maximum resolution of 1 024 pixel×768 pixel,and refresh rate of 60 Hz can be transferred in a single optical fiber in real-time with a maximum transmission rate of 1.5 Gbps and the distance of 5-10 km.Compared to the original system,the proposed system reduces additional optical equipment and the fiber utilization rate is increased by 80%.Moreover,the cascade function of the receiver end has reduced the laying costs.With reliable performance,the system can implement the transmission task of real-time image data from a traffic command center to the guidance LED display in most of the cities.

Traffic Parameters Detection Using Edge and Texture

This paper proposes an approach towards the real-time detection of traffic parameters such as such as the stationary queue length and lane share in crossroad, based on the stationary camera installed along roadside. According to the characteristics of the traffic scene, Canny edge detection is used to get the edge information of region of interest (ROI). Local binary pattern (LBP) texture method is used to obtain the vehicle and road surface texture features and morphological processing is taken to enhance the responses of vehicle targets and reduce the noises generated by road lane and shadow interference. Then, edge and texture information is integrated to get the vehicle detection results, and inter-frame difference is taken to segment the moving and stationary vehicles. And then vehicle traffic parameters such as the stationary queue length and lane share are extracted. Through experiments taken in traffic command system of Dongguan City, the results show that this approach is accurate and performs well in real-time under different weather and illumination.

System for scientific payload information support for the Phobos-Grunt project

This article describes a device called the System for Scientific Payload Information Support (SSPIS) that controls the traffic (commands, board time code, science and telemetry data) between the onboard computer system (OCS) and the scientific instrumentation (SI) of the spacecraft (SC) of the Phobos-Grunt project. The functional scheme of the device and the functions of the included modules are described. The scope of the testing of the device is considered. The software developed to perform functional testing of the hardware resources of the device is described.

PERT: a new power-efficient real-time packet delivery scheme for sensor networks

We present PERT, a power-efficient scheme to deliver real-time data packets in sensor networks. Time-sensitive sensor data is common in applications such as hazard monitoring systems, traffic control systems and battlefield command systems. Such data are associated with end-to-end deadlines, within which they must reach the Base Station (BS). We make two contributions in this work. Firstly, we propose a novel load-balanced routing scheme that distributes data packets evenly among the nodes relaying data towards the BS, avoiding bottlenecks and increasing the likelihood that packets will meet their deadlines. Secondly, we propose a method of grouping smaller packets into larger ones by delaying data transmissions at the relaying nodes whenever slack times are positive. Our packet grouping scheme significantly reduces packet transmissions, reduces congestion and saves power in the sensor network. We verify the effectiveness of our approach through extensive simulations of wireless network behaviour using the ns-2 simulation package.

NATIONAL IVHS ARCHITECTURE DEVELOPMENT STRATEGY

National information and control systems are emerging that require system architectures for deployment across the nation, e.g., air traffic control systems, military command and control systems, and other national information systems. The required characteristics for the national level architectures include modularity, openness, and evolvability. Modularity permits a variety of system configurations. Each may be designed to size a community's system with a level of functionality commensurate with the community's needs. Openness enables system interoperability with other systems at both horizontal and vertical levels. Evolvability requires the system to permit functionality and scope changes as the community and technology evolves. Achieving these characteristics necessitates a formal strategy for developing architectures, for information and control systems, at the national level. A national level, information and control system is a system that is made up of systems, e.g., a supersystem. Developing an ar...

The role of government in emergency transportation planning

Government planning is required when private pricing cannot represent the benefits involved. This often occurs in planning for emergencies because private persons know they are unlikely to realize the benefits of their preparations. Government transportation planning has characteristics, such as reliance on investment in new equipment instead of the use of existing equipment through pricing, a tendency to solidify existing technology and retard phasing-out activity, and a poor record of innovation, that do not lead one to optimism concerning planning for emergencies. The Defense Department has relied mainly on motor transport, operating through a Traffic Command analogous to the traffic department of a private firm. A limited war can be supplied with ships and planes hired from the private sector. A full-scale war would almost certainly be nuclear, of short duration, and fought with the resources at hand. The subsidy to the merchant marine should be ended; shipping for military and naval purposes should be acquired in competitive markets.

“Organized Crime”

The writer has served for [Formula: see text] years as a police officer in England, Northern Rhodesia, and Canada, the last eight and a half years as Chief of Police. The writer has undertaken courses of training in all the above countries, together with the United States, and holds certificates in Police Administration from the Ontario Police College, and in Municipal Police Administration from Institute for Training in Municipal Administration, and is a graduate of the Traffic Command School of the Pennsylvania State University.

Time/frequency and transportation

Current and future problems are presented for the land, sea, and air transportation environments that are, or can be, solved using time/frequency technology. Problem areas in transportation encompass vehicle surveillance and location, traffic management, collision avoidance, command and control, communications, navigation, and search and rescue. Time accuracy requirements vary widely from seconds to submicroseconds. The need for time/frequency technology in the orderly and safe movement of people and material is shown to be a function of the type of transportation and environment involved. Various characteristics of the transportation environments are discussed, and time-related aspects of transportation both today and in the future are designated. Transportation statistics indicate tremendous growth in the years ahead with concomitant problems. We consider the impact of the vast difference in the various economic budgets of transportation medium users, and the stated government policy of requiring users of federally operated aids and services to pay their fair share of the costs. Recommendations are presented for broad coordination in the development and introduction of electronic systems for transportation services. We conclude that time/frequency technology can solve some of today's problems in transportation, and it offers economic integrated-system solutions to future problems with concurrent frequency spectrum conservation. The interrelationships of navigation, communication, and time/frequency systems should encourage coordinated efforts of disciplines in the design of multipurpose systems as opposed to a proliferation of new single-use facilities.