scholarly journals Target Tracking and 3D Trajectory Reconstruction Based on Multicamera Calibration

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Junfang Song ◽  
Yao Fan ◽  
Huansheng Song ◽  
Haili Zhao
Keyword(s):  
Large Scale ◽  
Road Traffic ◽  
Traffic Information ◽  
Long Distance ◽  
Trajectory Reconstruction ◽  
Automatic Target Detection ◽  
Operation Conditions ◽  
Vehicle Trajectories ◽  
The Cross ◽  
Vehicle Trajectory

In traffic scenarios, vehicle trajectories can provide almost all the dynamic information of moving vehicles. Analyzing the vehicle trajectory in the monitoring scene can grasp the dynamic road traffic information. Cross-camera association of vehicle trajectories in multiple cameras can break the isolation of target information between single cameras and obtain the overall road operation conditions in a large-scale video surveillance area, which helps road traffic managers to conduct traffic analysis, prediction, and control. Based on the framework of DBT automatic target detection, this paper proposes a cross-camera vehicle trajectory correlation matching method based on the Euclidean distance metric correlation of trajectory points. For the multitarget vehicle trajectory acquired in a single camera, we first perform 3D trajectory reconstruction based on the combined camera calibration in the overlapping area and then complete the similarity association between the cross-camera trajectories and the cross-camera trajectory update, and complete the trajectory transfer of the vehicle between adjacent cameras. Experiments show that the method in this paper can well solve the problem that the current tracking technology is difficult to match the vehicle trajectory under different cameras in complex traffic scenes and essentially achieves long-term and long-distance continuous tracking and trajectory acquisition of multiple targets across cameras.

scholarly journals A hybrid gravity and route choice model to assess vector traffic in large-scale road networks

2020 ◽  
Vol 7 (5) ◽  
pp. 191858
Author(s):  
S. M. Fischer ◽  
M. Beck ◽  
L.-M. Herborg ◽  
M. A. Lewis
Keyword(s):  
Large Scale ◽  
Road Traffic ◽  
Choice Model ◽  
Route Choice ◽  
Gravity Models ◽  
Sampling Effort ◽  
Long Distance ◽  
General Terms ◽  
Rigorous Model ◽  
Stochastic Gravity

Human traffic along roads can be a major vector for infectious diseases and invasive species. Though most road traffic is local, a small number of long-distance trips can suffice to move an invasion or disease front forward. Therefore, understanding how many agents travel over long distances and which routes they choose is key to successful management of diseases and invasions. Stochastic gravity models have been used to estimate the distribution of trips between origins and destinations of agents. However, in large-scale systems, it is hard to collect the data required to fit these models, as the number of long-distance travellers is small, and origins and destinations can have multiple access points. Therefore, gravity models often provide only relative measures of the agent flow. Furthermore, gravity models yield no insights into which roads agents use. We resolve these issues by combining a stochastic gravity model with a stochastic route choice model. Our hybrid model can be fitted to survey data collected at roads that are used by many long-distance travellers. This decreases the sampling effort, allows us to obtain absolute predictions of both vector pressure and pathways, and permits rigorous model validation. After introducing our approach in general terms, we demonstrate its benefits by applying it to the potential invasion of zebra and quagga mussels ( Dreissena spp.) to the Canadian province British Columbia. The model yields an R 2 -value of 0.73 for variance-corrected agent counts at survey locations.

The Modification Design of Road Traffic Information Mobile Monitoring Vehicle

2012 ◽  
Vol 490-495 ◽  
pp. 721-725
Author(s):  
Ying Jie Qi ◽  
Qiang Wang
Keyword(s):  
Large Scale ◽  
Road Traffic ◽  
Three Dimensional ◽  
Traffic Monitoring ◽  
Traffic Information ◽  
Information Collection ◽  
Mobile Monitoring ◽  
Element Analysis ◽  
Three Dimensional Modeling ◽  
The Cost

At present, video monitoring equipments on highways in china are mostly used in a fixed position of the main roads, and the wired mode is generally used to transmit data. The purpose to improve the monitoring areas can be achieved by increasing the monitoring equipments and other means, but the cost of these methods are too high and the data transmission is limited by area, greatly restricting the large-scale application of those traffic monitoring equipments. In this paper, in order to achieve the function of road traffic information mobile monitoring, it completed the modification design of road traffic information mobile monitoring vehicle by use of CAD/CAE computer-aided designing tools. In this process, Jinbei SY6480 minibus was selected as the modification object, and the new re-layout in the car was implemented, and the lifting mechanism and vehicle wind-resistant design on the information collection equipment were especially included. Finally the three-dimensional modeling and finite element analysis were advanced by use of Pro/E and ANSYS software, ensuring the rationality of design. The vehicle designed by this paper can ensure that the information collection equipment achieve the intelligent monitoring function safely, stably and quickly.

scholarly journals Traffic incident detection based on a global trajectory spatiotemporal map

2021 ◽  
Author(s):  
Haoxiang Liang ◽  
Huansheng Song ◽  
Xu Yun ◽  
Shijie Sun ◽  
Yingxuan Wang ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Image Features ◽  
Vehicle Speed ◽  
Long Distance ◽  
Traffic Incidents ◽  
Detection Rates ◽  
Vehicle Trajectories ◽  
Vehicle Detection And Tracking ◽  
Speed Prediction ◽  
Vehicle Trajectory

AbstractTraffic incidents endanger the smooth running of vehicles. Congestion caused by traffic incidents has caused a waste of time and fuel and seriously affected transportation efficiency. At present, most methods use manual judgment or image features to detect traffic incidents, but these methods lack timeliness, leading to secondary incidents. For dangerous road sections such as ramp-free and long downhills, this paper proposes an algorithm to quickly detect traffic incidents based on a spatiotemporal map of vehicle trajectories. First, a vehicle dataset from the monitoring perspective is constructed, and an improved YOLOv4 detection algorithm is used to detect images organized as batches. Based on the detection result, the multi-object tracking method of vehicle speed prediction in key frames is used to obtain the vehicle trajectory. Then according to the vehicle trajectory obtained in a single scene, the vehicle trajectory is reidentified and associated in the continuous monitoring scene to construct a long-distance vehicle trajectory spatiotemporal map. Finally, according to the distribution and generation status of the trajectory in the spatiotemporal map, traffic incidents such as vehicle parking, vehicle speeding, and vehicle congestion are analyzed. Experimental results show that the proposed method greatly increases the speed of vehicle detection and tracking and obtains high mAP, MOTA, and MOTP indicators. The global spatiotemporal map constructed by trajectory reidentification can achieve high detection rates for traffic incidents, reduce the average elapsed time, and avoid the problems of the inaccuracy of analyzing image features.

Going the Distance

2020 ◽  
Author(s):  
Ron Harris
Keyword(s):  
Large Scale ◽  
Western Europe ◽  
Family Firms ◽  
Global Trade ◽  
Long Distance ◽  
Business Corporation ◽  
Modern Economy ◽  
Key Factor ◽  
Silk Route ◽  
Passive Investors

Before the seventeenth century, trade across Eurasia was mostly conducted in short segments along the Silk Route and Indian Ocean. Business was organized in family firms, merchant networks, and state-owned enterprises, and dominated by Chinese, Indian, and Arabic traders. However, around 1600 the first two joint-stock corporations, the English and Dutch East India Companies, were established. This book tells the story of overland and maritime trade without Europeans, of European Cape Route trade without corporations, and of how new, large-scale, and impersonal organizations arose in Europe to control long-distance trade for more than three centuries. It shows that by 1700, the scene and methods for global trade had dramatically changed: Dutch and English merchants shepherded goods directly from China and India to northwestern Europe. To understand this transformation, the book compares the organizational forms used in four major regions: China, India, the Middle East, and Western Europe. The English and Dutch were the last to leap into Eurasian trade, and they innovated in order to compete. They raised capital from passive investors through impersonal stock markets and their joint-stock corporations deployed more capital, ships, and agents to deliver goods from their origins to consumers. The book explores the history behind a cornerstone of the modern economy, and how this organizational revolution contributed to the formation of global trade and the creation of the business corporation as a key factor in Europe's economic rise.

A real-time push system on road traffic information

2014 ◽  
Author(s):  
Yang Xu ◽  
Zhang Zhenjiang ◽  
Liu Yun
Keyword(s):  
Real Time ◽  
Road Traffic ◽  
Traffic Information

Locality and Logophoricity

2019 ◽  
Author(s):  
Isabelle Charnavel
Keyword(s):  
Binding Theory ◽  
Long Distance ◽  
The Cross ◽  
Morphological Identity

Anaphors such as English herself, French elle-même, and Mandarin ziji are usually claimed to obey locality requirements stated by Condition A of Binding Theory. But we observe that in various languages, the same anaphors can be exempt from these locality requirements under certain conditions. The goal of this book is to describe and explain this widespread dual behavior of anaphors on the basis of French, English, Mandarin, Korean, and Icelandic. First, several strategies are proposed for distinguishing between the two possible behaviors of anaphors. Plain instances of anaphors require local and exhaustive binding, as well as sloppy readings in ellipsis. Exempt instances of anaphors, however, only require a logophorical interpretation, that is, to occur in phrases expressing the first-personal, mental perspective of their antecedent. Second, a new theory of exempt anaphora is proposed, which consists in deriving all properties distinguishing exempt from plain anaphors to one: the presence of a silent, syntactically represented logophoric operator introducing a local, perspectival binder for superficially exempt anaphors. This hypothesis parsimoniously reduces exempt to plain anaphors obeying Condition A, thus directly accounting for the cross-linguistically widespread morphological identity of plain and exempt anaphors. Under this proposal, the reason why exempt anaphors appear to escape locality requirements is that their binder is implicit, and their mandatory logophoric interpretation derives from the nature of this binder. Finally, several diagnostics are provided for testing the hypothesis that so-called long-distance anaphors can be analyzed just like exempt instances of anaphors.

scholarly journals Future Power Train Solutions for Long-Haul Trucks

2021 ◽  
Vol 13 (4) ◽  
pp. 2225
Author(s):  
Ralf Peters ◽  
Janos Lucian Breuer ◽  
Maximilian Decker ◽  
Thomas Grube ◽  
Martin Robinius ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Co2 Emissions ◽  
Value Chain ◽  
Large Scale ◽  
New Technology ◽  
Co2 Reduction ◽  
Road Transport ◽  
Transport Sector ◽  
Long Distance ◽  
Production Of Hydrogen

Achieving the CO2 reduction targets for 2050 requires extensive measures being undertaken in all sectors. In contrast to energy generation, the transport sector has not yet been able to achieve a substantive reduction in CO2 emissions. Measures for the ever more pressing reduction in CO2 emissions from transportation include the increased use of electric vehicles powered by batteries or fuel cells. The use of fuel cells requires the production of hydrogen and the establishment of a corresponding hydrogen production system and associated infrastructure. Synthetic fuels made using carbon dioxide and sustainably-produced hydrogen can be used in the existing infrastructure and will reach the extant vehicle fleet in the medium term. All three options require a major expansion of the generation capacities for renewable electricity. Moreover, various options for road freight transport with light duty vehicles (LDVs) and heavy duty vehicles (HDVs) are analyzed and compared. In addition to efficiency throughout the entire value chain, well-to-wheel efficiency and also other aspects play an important role in this comparison. These include: (a) the possibility of large-scale energy storage in the sense of so-called ‘sector coupling’, which is offered only by hydrogen and synthetic energy sources; (b) the use of the existing fueling station infrastructure and the applicability of the new technology on the existing fleet; (c) fulfilling the power and range requirements of the long-distance road transport.

scholarly journals Analysis of Subsynchronous Torsional of Wind–Thermal Bundled System Transmitted via HVDC Based on Signal Injection Method

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 474
Author(s):  
Junxi Wang ◽  
Qi Jia ◽  
Gangui Yan ◽  
Kan Liu ◽  
Dan Wang
Keyword(s):  
Wind Power ◽  
High Voltage ◽  
Direct Current ◽  
Computer Aided Design ◽  
Large Scale ◽  
Electromagnetic Transients ◽  
Torsional Mode ◽  
High Voltage Direct Current ◽  
Operation Conditions ◽  
Signal Injection

With the development of large-scale new energy, the wind–thermal bundled system transmitted via high-voltage direct current (HVDC) has become the main method to solve the problem of wind power consumption. At the same time, the problem of subsynchronous oscillation among wind power generators, high-voltage direct current (HVDC), and synchronous generators (SGs) has become increasingly prominent. According to the dynamic interaction among doubly fed induction generators (DFIGs), HVDC, and SGs, a linearization model of DFIGs and SGs transmitted via HVDC is established, and the influence of the electromagnetic transient of wind turbines and HVDC on the electromechanical transient processes of SGs is studied. Using the method of additional excitation signal injection, the influence of the main factors of DFIG on the damping characteristics of each torsional mode of SG is analyzed, including control parameters and operation conditions when the capacity of HVDC is fixed. The mechanism of the negative damping torsional of SGs is identified. A time-domain simulation model is built in Electromagnetic Transients including DC/Power Systems Computer Aided Design (EMTDC/PSCAD) to verify the correctness and effectiveness of the theoretical analysis.

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