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According to the characteristics of the scope of the traffic impact of special events, this paper put the traffic of border roads in the affected areas as origin (O) and destination (D), researched the regular of the ratio of intersection turning and the traveler route choice behavior, proposed a new regional OD matrix estimation method based on the intersection turning. Examples showed that this...
In order to improve the Vehicle Weigh in Motion System with precision, the paper introduces Nerve Net Algorithm to error analysis. The article sets up a neural network model by determining the neural network input and output variables. Then, the function is defined by net training on MATLAB software. Finally through the experimental verification of Nerve Net Algorithm improving Weigh in Motion System...
The text posed a brand new counting method of using infrared which was distinct to the normal usage in the product line. By adopting the infrared lattice and the appropriate recognition algrithom, the MCU is able to detect the status of traffic flow in complicated circumstance, easily and economically. All this enables to improve the real time information of traffic condition, furthter to instruct...
Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. The class is identified by checking the wheel base, ground...
Map-matching is a key component of ITS (Intelligent Transport System). Traditional map-matching algorithms based on geometry technology always cannot reach a good accuracy. Some other algorithms which use probabilistic theory, fuzzy logic, and belief theory usually are too complex to be applied to the practice for real-timeness. In this paper, we build a bidirectional node-link road network model...
Real-time traffic data is the main information source of Traffic Management Center (TMC) and Intelligent Traffic System (ITS), the qualities of collected data will affect the accuracy of the entire traffic control system directly. To improve the qualities of data, error processing must be used. In the paper, based of the large number of studies in related fields at home and abroad, the error processing...
In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal...
Recent studies have demonstrated that the performance of routing protocols in vehicular networks can be improved by using dynamic road traffic information to select the most appropriate forwarding paths or nodes. However, most of the techniques to estimate such traffic conditions imply an important communications overhead that compromises their future viability. In this context, this paper introduces...
With the rapid development of economy, private cars grow at an exponential rate and cities become more and more crowded. The speed of expanding urban area and increased urban road significantly lags behind the economic development. So the introduction of advanced Intelligent Transportation Systems (ITS) may be a well solution, which can solve the urban transport problems fundamentally. As the emergence...
Probe car system is used to provide real-time traffic information for telematics service. Although probe car technology is a well-known technology, how to appropriately evaluate the accuracy of a probe car system is still an unsolved issue. This paper compares several methods that are applied in the evaluation of probe car system. The shortcoming of each method is shown through data analysis of field...
To ensure traffic security and avoid traffic congestion, accommodation lane is set. A vehicle type measurement device is used to capture the violation drivers. The vehicle type measurement device uses a laser distance sensor with 1.2 KHz pulse repetition and 20 mm accuracy per pulse. The experiment shows that this laser distance sensor can obtain the vehicle profiles to distinguish bus, camion, trailer,...
Road construction sites often are the reason for traffic jams and accidents due to the reduced road width. Driver assistance systems for these demanding environments highly benefit from a digital representation of the road layout. This digital map includes all important infrastructure elements, such as barriers, temporary road markings and guiding reflector posts. The paper describes the automatic...
The limits of spatial attention during driving were examined using a dual-task performance paradigm in present study. Subjects were asked to follow a lead vehicle that varied in speed while also detecting a light change in an array located above the roadway. The results show that reaction time increased and accuracy decreased as a function of the horizontal location of the light change and the distance...
Based on the concept of fuzzy logic, a new map-matching algorithm was proposed to reduce the GPS positioning error by means of position correction in use of the digital map. Firstly, three fuzzy rules are introduced in different aspects which may influent the credibility judgment of the best matching road. And the corresponding membership functions are defined in details separately for sub-evaluations...
Transit vehicle reasonable dispatching is very important to solve the congestion of traffic. Artificial neural network is the common dispatching method, among which RBF neural network is a feed-forward neural network with one hidden layer, which can uniformly approximate any continuous function to a prospected accuracy. In RBF neural network, the choice of the widths and centers of the Gaussian function,...
Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations...
Lane-changing track is one of the most important topics in traffic engineering domain. In the past decades, continued efforts have been made to the research and development. Although the video traffic detection technology has been widely used in the detection of traffic incident, most of them are suitable for the identification of common parameters, which leads to little further investigation and...
Estimation of traffic flow with reasonable accuracy is essential for successful implementation of an intelligent transportation system (ITS). Crossroads are important part of urban traffic system, whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS. Some forecasting models have been developed, but these methods' precision usually can't meet with...
Microscopic simulation of traffic, while often necessary to capture the effects of interest, is a computationally expensive simulation strategy. What can be observed, however, is that the accuracy required from the simulation for post simulation analysis can depend on the simulated world and vary over simulated time - roads becoming crowded may be simulated differently than sparsely used roads. In...
Inquiring traffic information is an important issue in vehicular ad hoc networks. This paper proposes an aggregating data dissemination algorithm in vehicular ad hoc networks. This algorithm can offer the various degrees of traffic information when users propose inquiry for different regional ranges. The user often needs to obtain the detailed data from the small area or the summary data for the large...
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