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Nowadays, with the development of navigation and location, many kinds of outdoor locating methods are surveyed and used, such as Global Position System (GPS) and LTE fingerprint-based positioning system. However, as the most compelling focus, the localization accuracies of these systems are limited by the location systems themselves. Therefore, in order to improve the localization accuracy, we should...
An urban traffic system is a heterogeneous system, which consists of different types of intersections and dynamics. In this paper, we focus on one type of heterogeneous traffic network, which consists of signalized intersections and non-signalized ones, where in the latter case vehicles usually follow the first-come-first-serve (FCFS) principle. We propose a novel model describing the dynamic behaviors...
With the advance of intelligent vehicle infrastructure cooperation systems (i-VICS), many traffic parameters can be inferred given data from the OBU (On Board Unit of i-VICS)-equipped vehicles to calculate some information used in the modern urban traffic management. As a typical application, the estimation of investigated queue length at isolated intersections is proposed in the paper. Firstly, the...
Traffic state estimation plays a significant role in intelligent transportation systems. For a specific road, traffic state varies at different times of a day. Therefore, to estimate real-time traffic state is difficult. This paper presents a probabilistic approach for traffic state estimation. In this approach, traffic state distribution and data point distribution are used to describe the pattern...
Accurate and rapid estimation and prediction of accident impacts are significant, as it assists road administration to alleviate traffic congestion and help the road users to make better travel decisions. In either case, information of how long an accident affects the traffic at nearby intersections is essential. Although there have been various approaches regarding prior-accident issues, only a few...
In rural areas, there are a lot of two-lane bidirectional transportation systems. Inspired by the rapid developing wireless communication technologies, we propose a novel cooperative two-lane bidirectional model through applying the Intelligent Vehicle Infrastructure Cooperative Systems (IVICS) to the cellular automata (CA) model. Compared with the traditional model represented by the Simon and Gutowitz...
Due to the poor development of economy and policy, small and medium-sized city road networks, compared with large cities, are lack of management about traffic infrastructures and data, which causes a large amount of problems. Thus, building perfect detecting networks is necessary in these small and medium-sized cities to help regulate the traffic. However, models built in present researches about...
Travel time prediction, one of the most fundamental problems in almost all subsystems of Intelligent Transportation Systems (ITS), has attracted great attention in recent years. Lots of methods have been researched for this problem, including historical averages method, multiple linear regression and BP neural network. In this paper, an algorithm which combines support vector regression (SVR) and...
Autonomous car is an important tool for transportation and military in the future, and its precise positioning is the basis of autonomous navigation. Most positioning algorithms based on map-matching for autonomous car make little use of environmental perception information. To solve this problem, a positioning algorithm is proposed in this paper, which is based on map-matching and environmental perception...
As an important research field of Intelligent Transport System(ITS), Unmanned Ground Vehicles(UGV) can lessen traffic accidents and relieve traffic congestion by high intelligence, thereby improving the efficiency of the entire ITS. More and more complex urban traffic environment forces UGV to perceive a lot of environmental information, and the Geographic Information System (GIS) has strong capabilities...
This paper, based on the Kalman filter theory, established short-term traffic volume model. Kalman filter model has a good static stability, and adopts iterative method for optimal estimation of traffic. But the regular Kalman filtering traffic volume prediction established without considering the influencing factors on traffic and time-lag. Analyzing the influence factors of traffic volume based...
Displacement is a significant operator to solve spatial conflicts of road elements. At present, detection and adjustment of spatial conflicts are still in the manual stage, requiring a lot of manpower, resources and time. Therefore, it is urgently needed to study displacement operation thoroughly, whether for auto map production or the actual needs of mapping applications. Fortunately, structure mechanics...
This article begins with a general introduction to Middle East Railway residential area and explores the positive effects on the theories of modern urban planning exerted upon the formation and development of Middle East Railway Residential Area, and focuses on the profound illustration from different levels, namely the planning of the residential area, its distinctiveness and case study of the typical...
Travel time estimation is one of the core problems in Intelligent Transportation System (ITS) and Floating Car Data (FCD) is an important data source used by many cities to estimate it. This paper utilizes the Next Generation Simulation (NGSIM) project dataset to simulate the FCD scenario, to test the accuracy of FCD based link travel time estimation. In the first part, the calculated time from simulated...
An improved multispectral high resolution object-based image segmentation method based on graph is presented in this paper. We use Minimum Span Tree optimal theory to realize object based high resolution image segmentation. First, we improved the calculation of edge-weight by introducing the band-weight and Normalized Difference Vegetation Index (NDVI). Second, we proposed an edge based auto threshold...
Management of traffic incident is an essential part of emergency management. Impact analysis of incident becomes more and more important in the operation of Intelligent Traffic System. This paper uses flow data collected from loop detectors to analyze the impact of incident in urban traffic system. A complex network model using correlation coefficient as the edge weight is constructed. Then, the random...
Intelligent Transportation Systems are based on the acquisition of urban traffic information timely and accurately. This paper puts forward a prototype system of Wireless Traffic Information Service System(WTISS). In WTISS, vehicles equipped with wireless communication module are regarded as moving sensors on traffic network. Road-side station can get traffic status by analyzing data collected by...
This paper puts forward a hybrid spatio-temporal method of short-term traffic forecasting, i.e., dynamic space-time autoregressive integrated moving average model (dynamic STARIMA). This method combines STARIMA model and dynamic turn ratio prediction model (DTRP) to enhance the forecasting performance and efficiency on urban intersections. To verify the dynamic-STARIMA modeling method in real situation,...
From 8th to 24th in August 2008, a set of Traffic Demand Management (TDM) policies were applied in Beijing during the 2008 Olympic Games. These TDM strategies include improving performance of the existing transportation network, staggering work schedules and limiting the use of public vehicles and private vehicles. This paper studies the performance targets, the implementation details and the effects...
This paper tries to answer an interesting question: Is there any synchronized oscillation in network-wide urban traffic flow? Particularly, we apply the spectral envelope method to extract the common oscillation frequencies of a set of traffic flow time series collected from several detectors distributed on a two dimensional (2D) urban traffic network. Results show that several local synchronized...
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