Traffic Information Collection Research Articles

基于IPv6的智能交通信息采集

智能交通系统(ITS)可以为出行者提供各种路况信息，提高道路利用率，降低交通拥挤程度。交通信息采集是进行交通科学管理和合理控制的依据。论文研究基于IPv6的智能交通信息采集与系统架构，将车辆视为网络中的移动节点，采集各种交通信息，建立人–车–路–环境协调的智能交通信息系统，更好地为ITS服务。Intelligent Transportation System could provide all kinds of traffic information for travelers, releases the problem of traffic congestion by improving road utility, lowering the rate of traffic congestion and accidents. Traffic information collection is the key source for functions of traffic management and control. The paper researches the intelligent traffic information collection and system architecture based on IPv6, which constitute intelligent traffic information system looking the vehicle as mobile node of the network and collecting all kinds of traffic information, and establishes coordinate system of persons, cars, road and environment.

Implementation of VANET-based Warning Generation System using Cellular Networks, GPS, and Passive RFID Tags

Vehicular communication systems are a key part of an intelligent transportation system, while vehicle safety communication is a major target of vehicular communication. Other features that augment vehicular ad hoc networks are enhanced driving experience, including but not limited to, active navigation and weather information, real-time traffic information and a plethora of other autonomous and automated systems. However, our focus will be warning generation systems, which can help reduce fatalities if deployed in an efficient and fail-safe manner on motorways and highways. This paper describes a collective information system for collection and delivery of traffic information aimed at supporting fast, efficient and secure travel of people and transport of goods. Based on that information, authorities are able to assess vehicles’ sudden motion and movement changes and can generate warning/alert messages (for emergency/police vehicles) for post-accident scenarios. In this paper, the use of a radio frequency identification (RFID) system for vehicular communication has been proposed and an extended RFID system and infrastructure for vehicle safety communication through emergency phone towers (EPTs) and cell phones is suggested. In order to communicate, vehicles may be equipped with a cellular phone, RFID, and/or a global positioning system (GPS), whereas RFID readers may be mounted on EPTs, which are already installed on motorways. It also provides a demonstration on flow of information within the system; the simulation results are also included.

A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data

In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemination system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algorithm.

Offline handover location positioning for map matching of mobile probes

Handover location technology was employed for collecting road traffic information in a number of field projects, and the project results demonstrate that it is a supplementary and promising means of road traffic information collection for further traffic supervision and maintenance. Because handover location technology is one kind of pattern matching based location technologies, offline handover location positioning is an essential problem to be studied for successfully matching mobile probes on GIS map. Offline handover location positioning method involves two stages, handover location positioning respectively via two weighted models and an optimized model based on the intermediate results obtained in the first stage. A preliminary field test is conducted on a stretch of freeway in the inner suburban region in Beijing, and performance evaluation results show that the proposed method is superior to standard least square model in location accuracy and location precision, which is an effective method of offline handover location positioning.

Traffic Information Collection System for Congestion Identification and Relief

While research focuses on using available traffic data sources to identify and relieve traffic congestion, less work is devoted answering the question of how and where to collect traffic data, so that traffic control systems can perform in an optimal, and cost-efficient manner. In this paper, We present a framework to assess traffic detection systems, by introducing the level of detection as value to allow for an objective comparison of multiple detector placement scenarios. The framework allows the usage of the framework for network operations, as well as planning purposes. By translating traffic operation goals into data demand functions, and detector capabilities, combined with their location, into data supply functions, it is possible to optimize detector locations with well know tools from operations research. The latter one is important, since it allows for including additional boundary conditions, such as costs.

에코-드라이빙과 차량 진단 겸용 ETCS 융합 단말기

Abstract Nowadays, the problem of ETCS terminal in becoming popular gradually is that there is no services except for ETC. Therefore, we need new system that provide many type of additional services at one-terminal. In this paper, we study the additory function of ETCS terminal to afford many type of the vehicle administration beside collection and provider of traffic information. We descrived the method of Eco-driving function beside to save fuel signing instant and mean fuel-efficiency, measurement of section fuel-efficiency on OLED and then brings out the best driving habit in people and to prevent dangerous at the wheel as diagnosing engine oil, cooling water, fan belt, the point of changing consumables, diagnoses to an overheated engine, charges on generator through ECU. The multi-services terminal consist of the vehicle diagnosis module base on OBD-II and ETCS terminal. Key Words : ETCS, ITS, OBE, DSRC, Eco-Driving, OBD-II * 정회원, 우송대학교 컴퓨터정보학과접수일자 2012.327, 수정완료 2012.4.12게재확정일자 2012.4.13.Received: 27 March, 2012, Revised: 12 April, 2012Accepted: 13 April, 2012

Unmanned Aerial Vehicle Route Planning for Traffic Information Collection

In this paper, the unmanned aerial vehicle (UAV) route planning problem is introduced to deploy the UAV for road traffic information collection. The scenario of using limited UAVs to detect road sections is considered, and a multi-objective optimization model is developed, which uses the number of the UAVs and UAV maximum cruise distance as constraints and aims to minimize the total cruise distance and maximize the number of detected road sections. A novel non-dominated sorting genetic algorithm for this problem is then proposed. The case study shows that the nearly optimal solution for planning UAV routes can be acquired effectively. Compared the obtained solution with the optimal feasible solution, the total cruise distance is reduced by 13.07% and the number of detected targets is increased by 41.67%. Finally, some issues on deploying UAVs for traffic information collection are discussed.

Applied Research on Traffic Information Collection Based on Wireless Sensor Networks

Traditional traffic information collection network bears some disadvantages, such as high-concentrated system load, low-usage of network, limited network pavement, and shocking operation cost and so on. Therefore, this paper proposes to design a brand new traffic information collection system based on wireless sensor networks, in which the distributed treatment of traffic information collection is realized. This paper also puts forward the structure framework of traffic information collection system based on wireless sensor network, and discusses the potential problems in the implementation and related resolution strategies.

Mixed Traffic Information Collection System based on Pressure Sensor

Abstract The traffic information collection is the base of Intelligent Traffic.At present, there exist mixed traffic situation in urban road in China. This paper researched and implemented a system through collecting the vehicle and bicycle mixed traffic flow parameters based on pressure sensor. According to information collection requirements, we selected pressure sensor, designed the data collection, storage and other hardware circuitries and information processing software. The experiment shows that the system can meet the demand of traffic information collection in the actual.

Traffic information collecting algorithms for road selection decision support in vehicle ad hoc networks

Traffic information collection is critical issue for vehicle drivers. How to gather the traffic information is a challenge problem. We know that the more the traffic density is, the faster the data delivery is in a vehicle ad hoc network. We also know that the more traffic density is, the more traffic jam probability maybe. So the traffic density is a double edged sword. We may use the road with dense traffic density to transmit road information while use the road with thin traffic density to drive. This paper provides novel ideas to identify traffic density, traffic flow and to support road selection in vehicle ad hoc networks. Using the hop counter, speed detector in packet header, we give traffic density, traffic flow detection algorithm. Consider real time decision of road selection, road dynamic selection algorithm is presented by packet delay. Consider there may be no path to select, all the paths are jammed, carry-and-forward scheme maybe a robust transmit mode in disconnected and delay network, we present a carry-and-forward method to collect road information and predict the road situation in the end.

Model for a New Traffic Information System Based on Inter-Vehicle Communication Ad Hoc

This paper studies and explores an innovative pattern for a new traffic information system based on Inter-Vehicle Communication Ad Hoc. The main characteristic of this pattern is that the functions for traffic information collection and transmission are realized with the use of the moving vehicle which integrates the average speed of the vehicle on the current road section with the average speed transmitted by other vehicles in the Ad Hoc through inter-vehicle communication and with no need for using fixed facilities for traffic information collection and transmission. The traffic information of the current road section within certain period can be transmitted by the moving vehicles. Because the moving vehicle constantly changes its Ad Hoc network and the vehicles traffic information can be transmitted interactively, the traffic information of every road section can quickly spread through the whole road network. In view of this pattern, this paper establishes relative math models of automatic collection and transmission, based on Ad Hoc, of the traffic information.

The Link Dividing Method for Traffic Information Based on Floating Car

The technologies of traffic information collection based on GPS equipped floating car have been become one of the main important means for real-time collecting traffic information in intelligent transportation system. So, the electronic map of route network is important to collect traffic information. As present, the link dividing methods can’t take into account the different conditions of traffic flow and the different attributes of the route. This paper presents a novel link dividing method: Firstly, the speed of the floating car history track is regarded as a stochastic and its frequency spectrum is obtained using Fourier transform; Secondly, the optimal sampling intervals of the link dividing are obtained using the frequency spectrum of speed and Shannon sampling theory; Finally, the novel link dividing model is founded based on the optimal sampling intervals and the attributes of the routes. This method not only considers the different conditions of traffic flow, but also distinguishes the different traffic flow of the different places of a link, which can improve application effect of the route traffic conditions and vehicle dynamic navigation.

Wireless Sensor Networks for an Extended City Intelligent Transportation System

Due to development and extension of city, we propose an extended city intelligent transportation system based on new concept: transport priority schemes and emergency response scheme. In this paper, we propose an extended collaborative traffic information collection, fusion and storage framework for city intelligent transportation system based on wireless sensor technology. The proposed framework not only solved data fusion and storage problem in transport priority schemes and emergency response scheme, but also has higher reliability and flexibility compare with the traditional city intelligent transportation system.

A Collecting and Distribution System of Urban Traffic Information Based on Video Events Detection

A collection and distribution scheme of urban intelligent traffic information based on video events detection is presented in this paper. In this scheme, advanced technology of computer vision, digital image processing technology, database technology, communications technology, control technology, image sensor technology and system integration technology are integrated and applied in the transportation field effectively to achieve the collection and processing of various urban traffic information and the release of integrated information, thereby traffic jams and accidents are reduced effectively. Therefore, the scheme is of great significance to promote the rapid development of transportation business and speed up the informatization process of urban transportation. And in the paper, the bus information collection and release system is employed as an example to explain the application of the system.

A Real-Time Traffic Information Model Using GPS-Based Probe Car Data

In recent year, the rise of economic growth and technology advance leads to improve the quality of service of traditional transport system. Intelligent Transportation System (ITS) has become more and more popular. At present, the collection of real-time traffic information is executed in two ways: (1) Stationary Vehicle Detectors (VD) and (2) Global Position System (GPS)-based probe cars reporting. However, VD devices need a large sum of money to build and maintain. Therefore, we propose the linear regression model to infer the equation between vehicle speed and traffic flow. The traffic flow can be estimated from the speed which is obtained from GPS-based probe cars. In experiments, the Speed Error Ratio (SER) and Flow Error Ratio (FER) of linear regression model are 4.60% and 24.63% respectively. The estimated speed and traffic flow by using linear regression model is better than by using linear model, power law model, exponential model, and normal distribution model. Therefore, the linear regression model can be used to estimate traffic information for ITS.

Video-Based Automatic Incident Detection of Highway Network Monitoring System

Traffic information collection and incident detection is the base of Expressway network monitoring and operational management, and is the important components and key technologies of intelligent transportation systems. This paper Based on computer vision technology and digital image processing technology, Combining the needs and existing monitoring facilities of current highway traffic monitoring, study Video images based on highway traffic incident detection monitoring system, complete the system development, system engineering and system integration technology, And monitoring operations in the highway has been applied.

Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system

Real-time traffic information collection and data fusion is one of the most important tasks in the advanced traffic management system (ATMS), and sharing traffic information to users is an essential part of the advance traveler information system (ATIS) among the intelligent transportation systems (ITS). Traditionally, sensor-based schemes or probing-vehicle based schemes have been used for collecting traffic information, but the coverage, cost, and real-time issues have remained unsolved. In this paper, a wiki-like collaborative real-time traffic information collection, fusion and sharing framework is proposed, which includes user-centric traffic event reacting mechanism, and automatic agent-centric traffic information aggregating scheme. Smart traffic agents (STA) developed for various front-end devices have the location-aware two-way real-time traffic exchange capability, and built-in event-reporting mechanism to allow users to report the real-time traffic events around their locations. In addition to collecting traffic information, the framework also integrates heterogeneous external real-time traffic information data sources and internal historical traffic information database to predict real-time traffic status by knowledge base system technique.

A legal insight into the Status of the president of Local Self-Government regarding with Road Traffic Information Collection

A legal insight into the Status of the president of Local Self-Government regarding with Road Traffic Information Collection

다중 가상 검지선을 이용한 실시간 교통정보 수집

ATIS(Advanced Traveler Information System)는 교통 상황이나 주행 정보 등을 실시간으로 제공하여 이용자의 편익을 도모하는 시스템이다. ATIS를 위해 영상 이미지를 분석하여 교통정보를 수집 수집하는 방식은 크게 영역에 루프 검지기를 설정하여 측정하는 방식과, 영상 분석을 통해 차량을 검출하고 추적하는 방식으로 나뉜다. 본 연구에서는 차선마다 가상 검지기를 설치하는 방식을 기초로, 영상 분석 방법의 차량 위치 추적 방식을 응용하여 교통정보를 측정하는 시스템을 제안한다. 이때 가상 검지기 방식의 단점을 보완하기 위해 차선마다 다중의 가상 검지선을 설정하여, 검지 영역 내에 여러 대의 차량이 진입하거나 차량의 차선 변경 시에도 효과적으로 교통정보를 추출할 수 있게 하였고, 영상분석 방식의 문제점인 검지영역의 크기 증가에 따른 차량 추출 시간의 증가를 해결하기 위해 검지 영역 내에서 대표 픽셀을 추출하여 교통정보를 측정하였다. CCTV를 이용하여 취득한 영상에 제안하는 시스템을 이용하여 차량의 평균 속도와 차선별 교통량 측정한 결과 실제 교통량대비 평균 92.32%의 차량 검지율를 보였다. ATIS(Advanced Traveler Information System) is the system to offer a real-time traffic information or traffic situation for the benefit of the client. One of traffic information collection methods for ATIS research is the method of image analysis. The method is divided into two : one is the method to set two loop detectors at the area and the other is the method detecting the vehicle through an image analysis. In this paper, we propose a real-time traffic information collection system to mix two methods. The system installs multiple virtual detection lines and traces the location of the vehicle. Use of multiple virtual detection lines supplements the defect of the method of loop detectors. And we drew a representative pixels in the detecting area and used it for image analysis. This is to solve the problem of time delay which increases as the image size increases. We gathered traffic images and experimented using the system and got 92.32% of detection accuracy.

Technique for Estimating the Number of Active Flows in High-Speed Networks

The online collection of coarse-grained traffic information, such as the total number of flows, is gaining in importance due to a wide range of applications, such as congestion control and network security. In this paper, we focus on an active queue management scheme called SRED since it estimates the number of active flows and uses the quantity to indicate the level of congestion. However, SRED has several limitations, such as instability in estimating the number of active flows and underestimation of active flows in the presence of non-responsive traffic. We present a Markov model to examine the capability of SRED in estimating the number of flows. We show how the SRED cache hit rate can be used to quantify the number of active flows. We then propose a modified SRED scheme, called hash-based two-level caching (HaTCh), which uses hashing and a two-level caching mechanism to accurately estimate the number of active flows under various workloads. Simulation results indicate that the proposed scheme provides a more accurate estimation of the number of active flows than SRED, stabilizes the estimation with respect to workload fluctuations, and prevents performance degradation by efficiently isolating non-responsive flows.