Relevant bibliographies by topics / Real-Time Turning Movements

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Academic literature on the topic 'Real-Time Turning Movements'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Real-Time Turning Movements"

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Jiao, Pengpeng, and Tuo Sun. "Multiobjective Traffic Signal Control Model for Intersection Based on Dynamic Turning Movements Estimation." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/608194.

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The real-time traffic signal control for intersection requires dynamic turning movements as the basic input data. It is impossible to detect dynamic turning movements directly through current traffic surveillance systems, but dynamic origin-destination (O-D) estimation can obtain it. However, the combined models of dynamic O-D estimation and real-time traffic signal control are rare in the literature. A framework for the multiobjective traffic signal control model for intersection based on dynamic O-D estimation (MSC-DODE) is presented. A state-space model using Kalman filtering is first formulated to estimate the dynamic turning movements; then a revised sequential Kalman filtering algorithm is designed to solve the model, and the root mean square error and mean percentage error are used to evaluate the accuracy of estimated dynamic turning proportions. Furthermore, a multiobjective traffic signal control model is put forward to achieve real-time signal control parameters and evaluation indices. Finally, based on practical survey data, the evaluation indices from MSC-DODE are compared with those from Webster method. The actual and estimated turning movements are further input into MSC-DODE, respectively, and results are also compared. Case studies show that results of MSC-DODE are better than those of Webster method and are very close to unavailable actual values.
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Islam, Zubayer, and Mohamed Abdel-Aty. "Real-Time Vehicle Trajectory Estimation Based on Lane Change Detection using Smartphone Sensors." Transportation Research Record: Journal of the Transportation Research Board 2675, no. 6 (February 9, 2021): 137–50. http://dx.doi.org/10.1177/0361198121990681.

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As technology is moving rapidly toward automation and connectivity, it is of paramount importance to predict vehicle trajectories ahead of time. This not only enhances safety but also ensures mobility in a connected and automated environment. Previous studies have shown that, given the previous trajectory, the future trajectory can be estimated. But this method suffers from considerable drawbacks in the case of intersections as it cannot predict turning movements. It also requires advanced sensors that are not readily available in most vehicles. A smartphone device can also be used in such scenarios, bringing partial automation to vehicles without these sensors. This paper presents an integrated method of estimating vehicle trajectories for both general roadway segments and intersections by using a smartphone. A lane change detection system is taken as an indicator of intersection turning movement estimation and corresponding vehicle trajectories are estimated accordingly. The system can achieve high penetration rates and can be used to replicate onboard units. Sensor readings are taken periodically which are first filtered with a low-pass filter to zero out any high-frequency noise and then fed into a machine learning model to detect lane changes. The model can successfully capture lane changes with smartphone data with high accuracy (95%). Finally, vehicle trajectory is estimated using Chebyshev’s polynomial. This type of estimation system can find applications in collision prediction at intersections between a turning vehicle and a pedestrian on a crosswalk.
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Alibabai, Hamed, and Hani S. Mahmassani. "Dynamic Origin-Destination Demand Estimation Using Turning Movement Counts." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (January 2008): 39–48. http://dx.doi.org/10.3141/2085-05.

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A dynamic origin-destination (O-D) demand estimation model is presented that uses turning movement counts as observations. Based on an iterative bilevel estimation framework, the upper-level problem is to minimize a weighted objective function of the deviation between simulated link flows and real-time link counts and the deviation between estimated time-dependent demand and an a priori historical O-D table, where the weighting value is determined by an interactive approach to obtain the best compromise solution. A case study was performed on the US-29 network in Maryland to compare the estimated tables of this approach with the one obtained from the traditional method, which uses only approach link volume counts. The application illustrates considerable benefits of using turning movements instead of approach volumes in matching observed counts.
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Wang, Ying, and Zongzhong Tian. "Efficient Original-Destination Bandwidth: A Novel Model for Arterial Traffic Signal Coordination." Journal Européen des Systèmes Automatisés 53, no. 5 (November 15, 2020): 609–16. http://dx.doi.org/10.18280/jesa.530503.

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This paper proposes an efficient origin-estimation bandwidth (OD band) model, which provides dedicated progression bands for arterial traffic based on the real-time dynamic matrix of their estimated OD pairs. The innovations of the OD band model are as follows: First, the dynamics of through and turning-in/out traffics are analyzed based on the matrix of their estimated OD pairs, and used to generate the traffic movement sequence at continuous intersections; Second, the end-time of green interval for lag-lag phase sequence at continuous intersections is determined according to the relevant constraints, the relationship between the start/end-time of green interval and the minimum/maximum green intervals; Third, the bandwidths of the two directions of the artery ware produced, after being weighted by their traffic demands. The intuitiveness, convenience, and feasibility of the OD band model were fully demonstrated through a case study. Overall, the OD band model helps to produce bi-directional progression bands for traffic with many turning movements on the artery, and enables the through and turning-in/out traffics to proceed through continuous intersections, when the signals at those intersections are green.
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Xiao, Cai Wei, Hui Ding, Wen De Li, and Kai Cheng. "Design and Analysis of a Novel Sensing Cutting Tool for Precision Turning." Key Engineering Materials 516 (June 2012): 373–77. http://dx.doi.org/10.4028/www.scientific.net/kem.516.373.

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In this paper, a novel sensing cutting tool for precision turning is presented, which has a self-sensing function to monitor the cutting force in real-time cutting conditions. The basic idea is the integration of the sensors using piezoelectric film onto the rake face of the tool to measure the main cutting force. Piezoelectric film generates electrical signals according to the piezoelectric effect when it is subjected to small movements, due to the deflection and vibration of the tool during machining operations. The output electrical signal of the piezoelectric film is amplified and capable of transmitting cutting force signals to the measuring system. In particular, the results of a calibration experiment using a dynamometer illustrate the performance of the sensing cutting tool and the relationship between cutting force and electrical signals, which can be used reliably to monitor the cutting force. The paper concludes with further discussions on the potential and application of the smart cutting tool for real-time condition monitoring and adaptive machining purposes.
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Fung, Eric H. K., and S. M. Yang. "A New Method for Roundness Control in Taper Turning Using FCC Techniques." Journal of Manufacturing Science and Engineering 123, no. 4 (September 1, 2000): 567–75. http://dx.doi.org/10.1115/1.1372196.

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This paper describes a methodology of online measuring and compensating spindle error motions without using a precalibrated master. The method is based on a combination of forecasting compensatory control (FCC) and error separation techniques. The real time recursive ARMA modeling technique is used for the modeling and forecasting of workpiece errors while the error compensation is performed by means of two-dimensional piezo-actuated tool movements. Experimental results have shown that an improvement of 42–47 percent was achieved for the roundness error of workpieces in the taper turning operations.
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Chen, Can, Yumin Cao, Keshuang Tang, and Keping Li. "Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model." Journal of Advanced Transportation 2021 (February 5, 2021): 1–15. http://dx.doi.org/10.1155/2021/8877138.

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Dynamic path flows, referring to the number of vehicles that choose each path in a network over time, are generally estimated with the partial observations as the input. The automatic vehicle identification (AVI) system and probe vehicle trajectories are now popular and can provide rich and complementary trip information, but the data fusion was rarely explored. Therefore, in this paper, the dynamic path flow estimation is based on these two data sources and transformed into a feature learning problem. To fuse the two data sources belonging to different detection ways at the data level, the virtual AVI points, analogous to the real AVI points (turning movements at nodes with AVI detectors), are defined and selected to statically observe the dynamic movement of the probe vehicles. The corresponding selection principles and a programming model considering the distribution of real AVI points are first established. The selected virtual AVI points are used to construct the input tensor, and the turning movement-based observations from both the data sources can be extracted and fused. Then, a three-dimensional (3D) convolutional neural network (CNN) model is designed to exploit the hidden patterns from the tensor and establish the high-dimensional correlations with path flows. As the path flow labels commonly with noises, the bootstrapping method is adopted for model training and the corresponding relabeling principle is defined to purify the noisy labels. The entire model is extensively tested based on a realistic road network, and the results show that the designed CNN model with the presented data fusion method can perform well in training time and estimation accuracy. The robustness of a model to noisy labels is also improved through the bootstrapping method. The dynamic path flows estimated by the trained model can be applied to travel information provision, proactive route guidance, and signal control with high real-time requirements.
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Ozasa, Kazunari, Jee Soo Lee, Simon Song, and Mizuo Maeda. "Real-Time Analysis of Chemotactic Motion of Euglena Cells Confined in a Microchip Toxicity Sensor." Key Engineering Materials 644 (May 2015): 185–88. http://dx.doi.org/10.4028/www.scientific.net/kem.644.185.

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We developed the real-time analysis of chemotactic motion of microbial cells (Euglena gracilis), for on-chip cytotoxicity sensing for environmental chemical substances. TheEuglenacells were confined in a closed-type micro-aquarium in a PDMS microchip, and their movements were taken by a CMOS video camera. When 1.5%-H2O2was introduced into a microchannel running aside of the micro-aquarium, the H2O2molecules permeated into the micro-aquarium by diffusion through porous PDMS wall, and the cells fell into continuous rotation instead of single step turning and/or straightforward swimming. Such an abnormal swimming behavior is the result of metabolic disturbing effects evoked by radical oxygen species released from H2O2. In order to sensing the metabolic disturbing effects, we achieved real-time categorization of the swimming traces into straightforward swimming or continuous rotation; firstly the swimming traces in the video image were sectioned into squares, and then the aspect ratio and filling factor for each square were calculated. High aspect ratio or small filling factor corresponded to straightforward swimming, whereas low aspect ratio and high filling factor to continuous rotation. This motion analysis enables to measure the metabolic disturbing effects on swimmingEuglenacells quantitatively, which is important to detect unidentified toxic substances in environments.
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Dietzel, Marian Alexander. "Sentiment-based predictions of housing market turning points with Google trends." International Journal of Housing Markets and Analysis 9, no. 1 (March 7, 2016): 108–36. http://dx.doi.org/10.1108/ijhma-12-2014-0058.

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Purpose – Recent research has found significant relationships between internet search volume and real estate markets. This paper aims to examine whether Google search volume data can serve as a leading sentiment indicator and are able to predict turning points in the US housing market. One of the main objectives is to find a model based on internet search interest that generates reliable real-time forecasts. Design/methodology/approach – Starting from seven individual real-estate-related Google search volume indices, a multivariate probit model is derived by following a selection procedure. The best model is then tested for its in- and out-of-sample forecasting ability. Findings – The results show that the model predicts the direction of monthly price changes correctly, with over 89 per cent in-sample and just above 88 per cent in one to four-month out-of-sample forecasts. The out-of-sample tests demonstrate that although the Google model is not always accurate in terms of timing, the signals are always correct when it comes to foreseeing an upcoming turning point. Thus, as signals are generated up to six months early, it functions as a satisfactory and timely indicator of future house price changes. Practical implications – The results suggest that Google data can serve as an early market indicator and that the application of this data set in binary forecasting models can produce useful predictions of changes in upward and downward movements of US house prices, as measured by the Case–Shiller 20-City House Price Index. This implies that real estate forecasters, economists and policymakers should consider incorporating this free and very current data set into their market forecasts or when performing plausibility checks for future investment decisions. Originality/value – This is the first paper to apply Google search query data as a sentiment indicator in binary forecasting models to predict turning points in the housing market.
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Greco, Sara, Rebecca Schär, Chiara Pollaroli, and Chiara Mercuri. "Adding a temporal dimension to the analysis of argumentative discourse: Justified reframing as a means of turning a single-issue discussion into a complex argumentative discussion." Discourse Studies 20, no. 6 (April 29, 2018): 726–42. http://dx.doi.org/10.1177/1461445618770480.

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This article seeks to extend existing models of argumentation by considering an important dimension of real-life argumentative discourse: how complex argumentative discussions evolve over time. We define a complex argumentative discussion as a multi-issue discussion, in which the different issues are interrelated in the form of a hierarchy. We claim that justified reframing might be used to transform a single-issue argumentative discussion into a complex argumentative discussion. To illustrate this, we examine the Facebook discourse of the Rhodes Must Fall movement in South Africa. We analyse how reframing is justified by means of arguments, allowing the protagonists to claim as legitimate their reframing of a single issue into a complex argumentative discussion. Our findings complement existing sociological research on social movements by highlighting how their goals are achieved by means of argumentative discourse.
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Dissertations / Theses on the topic "Real-Time Turning Movements"

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Ahmad, Qurashi. "Turning Movements Estimation Using Data with Perturbations." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1597337871546389.

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Books on the topic "Real-Time Turning Movements"

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Moore, William F., and Jane Ann Moore. Hating the Zeal to Spread Slavery, 1854. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038464.003.0002.

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This chapter examines how Abraham Lincoln and Owen Lovejoy were brought together by a common vision to end slavery. Lincoln, a Springfield lawyer, and Lovejoy, a Princeton pastor, met for the first time at the Springfield State Fair in Illinois on October 4, 1854. At that time, both Lincoln and Lovejoy were angered by the Kansas–Nebraska Act championed by Illinois Democratic senator Stephen A. Douglas. Lincoln wanted the Whigs and Lovejoy wanted the Republican Party to lead the “fusion” movement uniting all those opposed to Douglas's law and advocating the restoration of the Missouri Compromise. In a speech, Lincoln declared, “This...real zeal for the spread of slavery, I cannot but hate.” Lovejoy, one of those in attendance, identified with Lincoln's emotion and conviction, as his brother, Elijah, was murdered by a pro-slavery mob. This chapter first discusses the beginning of the Republican Party in Illinois before turning to his and Lincoln's election to the Illinois House of Representatives on November 7, 1854.
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Book chapters on the topic "Real-Time Turning Movements"

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"LT: It was a very heady, weird time—traumatic—after all those assassinations. It was extremely disturbing sometimes. PN: The motifs of travel, movement, the journey, the quest have a central place in your work. I was reminded of the way travel also figures in Jane Bowles’s fiction. She describes it as ‘a sensation that lay between suffering and enjoyment’ and she adds that for her character Lila, ‘it had a direct connection with her brother’s lies’— it’s as if the ambivalent feelings occasioned by travel have some fundamental relation to fiction. LT: In a way writing, like travel, is uncomfortable. Even if you get pleasure from it, and I do, the desire to do it also probably comes from tremendous frustration and a peculiar kind of displacement that you want to pin down. I don’t actually find travelling that enjoyable, but on the other hand I have a greater fear of stasis. I mean I have a real fear that if I sit in my apartment, for a very long time, I’ll lose any kind of perspective I have, that I really won’t be able to see my thoughts at all. They’ll simply be the wallpaper everything else is and I’ll just accept everything. My fear is that I’ll just accept all the ways in which I’m limited because I won’t any more see them as limits. You begin to recognize your limits when you’re up against the unfamiliar. PN: In Motion Sickness, you use a quotation from Julia Kristeva as an epigraph: ‘The expatriate represents, in fact, the normal state of an average citizen in this last part of the 20th century.’ Why is that notion so suggestive for you? LT: Because of issues around alienation…and the alien nation within. I was trying to turn a so-called anti-anti-travel novel [sic] into something that’s really about the place you’re in. Turning it on its head. I wanted to turn it all around and say, OK, here’s this travel business, but you can think about this differently. You can think that where you are is also not a secure place to be, and that you’re maybe feeling as uprooted as somebody who’s not in their own country. I mean, think about all the different populations in America who aren’t exactly served by that system. PN: You remember Orwell’s essay ‘Inside the whale’ on Henry Miller. He argues that expatriates always have a superficial sense of what’s going on, a limited perception of the place they’re in. LT: In England I cringe when they talk about something I’ve done as ‘expatriate’. I think Oh my God I’ve written an expat novel. There’s something really hideous about that. I think part of why I’ve done what I’ve done is an in-your-face thing. There’s a real distrust in the States of people who choose to live somewhere else. They’re losers, they can’t make it. Whatever the Romantic." In Textual Practice, 51. Routledge, 2005. http://dx.doi.org/10.4324/9780203986219-17.

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Conference papers on the topic "Real-Time Turning Movements"

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Feng, Dakui, Xuanshu Chen, Hao Liu, Zhiguo Zhang, and Xianzhou Wang. "Comparisons of Turning Abilities of Submarine With Different Rudder Configurations." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77983.

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Submarine is usually equipped with two different control device arrangements, namely a cruciform and a X rudder configuration. In this paper, numerical simulations of the DARPA Suboff submarine and its retrofitted submarine with a X rudder configuration are presented. Turning simulations in model scale were studied to compare the turning abilities of the two different control device arrangements. The computations were performed with a house viscous CFD solver based on the conservative finite difference method. In the solver, RANS equation are solved coupled with six degrees of freedom (6DOF) solid body motion equations of the submarine in real time. The structured dynamic overlapping grids were used to simulate the real-time changes of the attitude of the submarine and the rotation of the rudder. The volume force method was used to replace the real propeller to realize the self-propelled movement of submarine. In the free running maneuvering simulations, the submarines move at the same initial velocity and rudder angle, restricted to the horizontal plane with four degrees of freedom (4DOF). Comparisons of the trajectory and kinematic parameters including relative turning radius and turning period between the two cases were presented in this paper. The results show that, compared with the cruciform rudder configuration, the X rudder configuration has obvious advantages for submarine in the turning abilities.
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Wu, Chia-Che, Ping-Kuo Tseng, Meng-Jhu Hou, and Ching-Hsiu Tsai. "Adhesive Density of 11-Mercaptoundecanoic Acid (MUA) and Turnip Yellow Mosaic Virus (TYMV) in Microfluidic Channels." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86222.

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Recently, there has been an increasing interest to develop rapid, reliable and low-concentration detection methods of micro-organisms involved in bioterrorism, food poisoning, and clinical problems. How to detect virus at concentration below the threshold will be challenging with respect to specificity, selectivity, and sensitivity. Among all parameters, sensitivity is probably the most critical consideration. If the sensitivity is not satisfied for real-time detection, researchers need to duplicate numerous numbers of viruses. However, it will substantially increase processing times and experimental hazard. To increase the sensitivity of virus sensors, this paper discusses how to increase the density of linkers and viruses on sensor’s surface in the microfluidic channels. In the future, researcher could use emerging technology, such as PT-PCR, QCM, C-V and I-V measurements, etc, to detect viruses on sensor’s surface. Usually microorganisms, molecules, or viruses in the fluidic environment are at very low Reynolds numbers because of tiny diameters. At very low Reynolds numbers, viscous forces of molecules and viruses will dominate. Those micro- or nanoparticles will stop moving immediately when flows cease and drag forces disappear. Of course, molecules and viruses are still subject to Brownian motion and move randomly. In order to increase the adhesion density of micro- and nanoparticles on sensor’s surface, designs of the flow movements in microfluidic channel is proposed. Adhesion density of linker 11-mercaptoundecanoic acid (MUA) and turnip yellow mosaic virus (TYMV) with specific quantum dots were measured by confocal microscope. Results show that TYMV and MUA layers disperse randomly by dipping method. Infusion rate, flow rate, and transverse flow could affect the adhesion densities of recognition layers on sensors’ surface. Adhesion densities of MUA and TYMV can be reached 70∼80% by microfluidic method to contrast just 10% by dipping method.
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Reports on the topic "Real-Time Turning Movements"

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Young, Stanley, Venu Garikapati, and Yi Hou. Real-Time Volume and Turning Movements from Probe Data: Cooperative Research and Development Final Report, CRADA Number CRD-16-614. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1660153.

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