scholarly journals A Unified Multiple-Target Positioning Framework for Intelligent Connected Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1967 ◽  
Author(s):  
Xiao ◽  
Yang ◽  
Wen ◽  
Jiang
Keyword(s):  
Satellite System ◽  
Transport Systems ◽  
Connected Vehicles ◽  
Multiple Target ◽  
High Definition ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Road ◽  
Sensor Information ◽  
High Level

Future intelligent transport systems depend on the accurate positioning of multipletargets in the road scene, including vehicles and all other moving or static elements. The existingself-positioning capability of individual vehicles remains insufficient. Also, bottlenecks indeveloping on-board perception systems stymie further improvements in the precision and integrityof positioning targets. Vehicle-to-everything (V2X) communication, which is fast becoming astandard component of intelligent and connected vehicles, renders new sources of informationsuch as dynamically updated high-definition (HD) maps accessible. In this paper, we propose aunified theoretical framework for multiple-target positioning by fusing multi-source heterogeneousinformation from the on-board sensors and V2X technology of vehicles. Numerical and theoreticalstudies are conducted to evaluate the performance of the framework proposed. With a low-costglobal navigation satellite system (GNSS) coupled with an initial navigation system (INS), on-boardsensors, and a normally equipped HD map, the precision of multiple-target positioning attainedcan meet the requirements of high-level automated vehicles. Meanwhile, the integrity of targetsensing is significantly improved by the sharing of sensor information and exploitation of mapdata. Furthermore, our framework is more adaptable to traffic scenarios when compared withstate-of-the-art techniques.

Social Cars

2014 ◽  
pp. 176-200
Author(s):  
Ronald Schroeter ◽  
Alessandro Soro ◽  
Andry Rakotonirainy
Keyword(s):  
Mobile Technologies ◽  
Transport Systems ◽  
Self Awareness ◽  
Intelligent Transport Systems ◽  
Intelligent Algorithms ◽  
Intelligent Transport ◽  
Locative Media ◽  
The Road ◽  
Over Time

Intelligent Transport Systems (ITS) encompass sensing technologies, wireless communication, and intelligent algorithms, and resemble the infrastructure for ubiquitous computing in the car. This chapter borrows from social media, locative media, mobile technologies, and urban informatics research to explore three classes of ITS applications in which human behavior plays a more pivotal role. Applications for enhancing self-awareness could positively influence driver behavior, both in real-time and over time. Additionally, tools capable of supporting our social awareness while driving could change our attitude towards others and make it easier and safer to share the road. Lastly, a better urban awareness in and outside the car improves our understanding of the road infrastructure as a whole. As a case study, the authors discuss emotion recognition (emotions such as aggressiveness and anger are a major contributing factor to car crashes) and a suitable basis and first step towards further exploring the three levels of awareness, self-, social-, and urban-awareness, in the context of driving on roads.

scholarly journals Assessment of the traffic light in Bydgoszcz in the view of law regulations

2018 ◽  
Vol 19 (6) ◽  
pp. 1200-1204
Author(s):  
Radosław Klusek
Keyword(s):  
Transport Systems ◽  
Traffic Light ◽  
Intelligent Transport Systems ◽  
Traffic Lights ◽  
Intelligent Transport ◽  
The Road ◽  
Road Signs

By making changes in the regulations on road signs there should be specified a date for which the road manager should adapt an existing signs. The existing rules significantly changed the rules for the use of road signs. Some of these modifications concerned the traffic lights. According with that document these changes should be made up to 31 December 2008. As seen in Polish cities, not all managements have managed to adjust the traffic lights to the new rules. The following article presents results of analyzes to adapt 45 traffic lights to the current rules. Those traffic lights were redesigned to create Intelligent Transport Systems in Bydgoszcz.

scholarly journals The EU Horizon Europe programme: Funding opportunities for the meteorological and climate community – basic and application areas

2021 ◽  
Author(s):  
Adrian Broad
Keyword(s):  
Heat Waves ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Protection Mechanism ◽  
Intelligent Transport ◽  
The Road ◽  
On The Road ◽  
Funding Opportunities ◽  
New Framework ◽  
The Eu

<p>The EU has recently adopted its new Framework Programme for Research & Innovation called Horizon Europe (HE) with a budget of 95 billion euros over 7 years (2021-2027). It includes many fundamental and application science areas where the meteorological and climate community at large can contribute to and benefit from funding.</p> <p>The event will include an introduction by Dr. Adrian Broad (UK Met Office and EUMETNET) to the three pillars of HE, followed by more insights for our community into the most relevant clusters and connections with the important HE missions. This will include among others: climate systems and extreme weather; sustainable and intelligent transport systems in the air, on the road or seas; space weather and earth observation; renewable energy and agriculture sectors; the ocean and marine environment; heat waves and air pollution impact on health; technology and the digital economy; or safe systems for critical infrastructures. To conclude, links between HE and other relevant EU programmes will be made, focussing on Copernicus, Digital Europe and the Civil Protection Mechanism.</p>

scholarly journals Technical, economic and social aspects when choosing an effective solution for improving traffic in cities

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Igor Pugachev ◽  
Aleksey Kamenchukov ◽  
Valentin Shcheglov ◽  
Nina Smirnova
Keyword(s):  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transport Systems ◽  
Quality And Safety ◽  
Intelligent Transport Systems ◽  
High Quality ◽  
National Project ◽  
Intelligent Transport ◽  
The Road

The national project “Safe and high-quality roads” is aimed at the development, creation and effective use of intelligent transport systems. Today, there are many technical solutions to improve road safety, as well as optimize the process of organizing traffic. Often, these solutions lie not only in the plane of design, in the use of technical means for organizing traffic, in reconstruction of the existing street-road network, but also in the use of intelligent transport systems. The article has developed a concept for the development of a road-road network in Khabarovsk, in connection with the adoption by the Government of the Khabarovsk Territory of a decision on the construction of a transport interchange at the intersection of Voronezh-Bolshaya Streets in Khabarovsk, as part of the national project “Safe and High-Quality Roads” in the Khabarovsk Territory. The collection and analysis of statistical data, over a five-year period, on the types of frequency of occurrence of reported road traffic accidents. Visual and grapho-analytical methods identified the focus of the concentration of traffic accidents at the considered site of the road network of the city of Khabarovsk. Based on the method of conflict points, factors that influence the accident rate of an existing section of the road are studied. Several options for improving the quality and safety of traffic are considered: changing the number of lanes, regulating the traffic light, building a multi-level traffic intersection. Using modern software systems, based on methods of mathematical modeling, for several options developed models of traffic flows, identified the maximum possible comfortable and safe traffic conditions. Substantiated recommendations are given for improving the quality and safety of road traffic by improving the existing road situation.

A Study on Computational Time Reduction of Road Obstacle Detection by Parallel Image Processor

2014 ◽  
Vol 18 (5) ◽  
pp. 849-855 ◽  
Author(s):  
Yutaro Okamoto ◽  
◽  
Chinthaka Premachandra ◽  
Kiyotaka Kato
Keyword(s):  
Detection Algorithm ◽  
Obstacle Detection ◽  
Transport Systems ◽  
Computational Time ◽  
Intelligent Transport Systems ◽  
Image Processor ◽  
Intelligent Transport ◽  
The Road ◽  
Parallel Image ◽  
Time Reduction

Automatic road obstacle detection is one of the significant problem in Intelligent Transport Systems (ITS). Many studies have been conducted for this interesting problem by using on-vehicle cameras. However, those methods still needs a dozens ofmillisecondsfor image processing. To develop the quick obstacle avoidance devices for vehicles, further computational time reduction is expected. Furthermore, regarding the applications, compact hardware is also expected for implementation. Thus, we study on computational time reduction of the road obstacle detection by using a small-type parallel image processor. Here, computational time is reduced by developing an obstacle detection algorithm which is appropriated to parallel processing concept of that hardware. According to the experimental evaluation of the new proposal, we could limit computational time for eleven milliseconds with a good obstacle detection performance.

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