scholarly journals Research on Vehicle-Road Co-Location Method Oriented to Network Slicing Service and Traffic Video

2021 ◽  
Vol 13 (10) ◽  
pp. 5334
Author(s):  
Zhi Ma ◽  
Songlin Sun
Keyword(s):  
Traffic Monitoring ◽  
Urban Traffic ◽  
Cooperative Localization ◽  
Positioning System ◽  
Network Slicing ◽  
The Road ◽  
5G Network ◽  
Positioning Method ◽  
On The Road ◽  
Slicing Technology

The development of 5G network slicing technology, combined with the application scenarios of vehicle–road collaborative positioning, provides end-to-end, large-bandwidth, low-latency, and highly reliable flexible customized services for Internet of Vehicle (IoV) services in different business scenarios. Starting from the needs of the network in the business scenario oriented to co-location, we researched the application of 5G network slicing technology in the vehicle–road cooperative localization system. We considered scheduling 5G slice resources. Creating slices to ensure the safety of the system, provided an optimized solution for the application of the vehicle–road coordinated positioning system. On this basis, this paper proposes a vehicle–road coordinated combined positioning method based on Beidou. On the basis of Beidou positioning and track estimation, using the advantages of the volumetric Kalman model, a combined positioning algorithm based on CKF was established. In order to further improve the positioning accuracy, vehicle characteristics could be extracted based on the traffic monitoring video stream to optimize the service-oriented positioning system. Considering that the vehicles in the urban traffic system can theoretically only travel on the road, the plan can be further optimized based on the road network information. It was preliminarily verified by simulation that this research idea has improved the relative single positioning method.

scholarly journals Slicing on the Road: Enabling the Automotive Vertical through 5G Network Softwarization

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4435 ◽  
Author(s):  
Claudia Campolo ◽  
Ramon Fontes ◽  
Antonella Molinaro ◽  
Christian Esteve  Rothenberg ◽  
Antonio Iera
Keyword(s):  
Building Blocks ◽  
Time Data ◽  
Network Slicing ◽  
The Road ◽  
5G Network ◽  
Challenges And Opportunities ◽  
5G Systems ◽  
On The Road ◽  
Real Time Data Processing ◽  
Multi Access

The demanding requirements of Vehicle-to-Everything (V2X) applications, such as ultra-low latency, high-bandwidth, highly-reliable communication, intensive computation and near-real time data processing, raise outstanding challenges and opportunities for fifth generation (5G) systems. By allowing an operator to flexibly provide dedicated logical networks with (virtualized) functionalities over a common physical infrastructure, network slicing candidates itself as a prominent solution to support V2X over upcoming programmable and softwarized 5G systems in a business-agile manner. In this paper, a network slicing framework is proposed along with relevant building blocks and mechanisms to support V2X applications by flexibly orchestrating multi-access and edge-dominated 5G network infrastructures, especially with reference to roaming scenarios. Proof of concept experiments using the Mininet emulator showcase the viability and potential benefits of the proposed framework for cooperative driving use cases.

Location Decision of City Logistics Facility Based on Fuzzy Synthetic Evaluation

2010 ◽  
Vol 33 ◽  
pp. 351-355 ◽  
Author(s):  
Yan Zhang ◽  
Oh Kyoung Kwon
Keyword(s):  
Evaluation Method ◽  
Urban Traffic ◽  
City Logistics ◽  
Fuzzy Synthetic Evaluation ◽  
Urban Freight ◽  
The Road ◽  
Logistics Systems ◽  
Urban Freight Transport ◽  
On The Road ◽  
Synthetic Evaluation

The concept of city logistics facilities is to help establish more efficient urban logistics systems for both private companies and society, reduce the total social and environmental costs of urban freight transport and improve the urban traffic conditions on the road network. This study adopts a fuzzy synthetic evaluation method to determine the optimal location of city logistics facilities.

scholarly journals WEATHER AND TRAFFIC MONITORING SYSTEM IoT-Based TOWARDS JAMBI SMART CITY

2021 ◽  
Vol 4 (1) ◽  
pp. 129-132
Author(s):  
Imti Tsalil Amri ◽  
Santoso Santoso ◽  
Teuku Djauhari ◽  
Brestina Gultom
Keyword(s):  
Success Rate ◽  
Monitoring System ◽  
Smart City ◽  
Research Method ◽  
Traffic Monitoring ◽  
Traffic Jam ◽  
The Road ◽  
Descriptive Research ◽  
On The Road

With the large number of vehicles on the road today, we often get stuck in a traffic jam on our way to a place. And the temperature or the weather that often changes sometimes also causes us to get stuck in a weather. Thus both these problems was made a journal WEATHER AND TRAFFIC MONITORING SYSTEM IoT-BASED TOWARDS JAMBI SMART CITY. This research uses descriptive research method. This method uses action techniques that focus on implementing actions with the aim of improving quality or solving problems in a group of objects and observing the success rate or impact of their actions.

scholarly journals "Quit stalling…!": Destiny and Destination on L.A.s Inner City Roads 

2009 ◽  
Vol 1 (2) ◽  
pp. 367-384
Author(s):  
Martin Zeilinger
Keyword(s):  
Los Angeles ◽  
Inner City ◽  
Automatic Transmission ◽  
Urban Traffic ◽  
Individual Subject ◽  
Jane Jacobs ◽  
The Road ◽  
Motion Speed ◽  
On The Road ◽  
Ideological Divergence

If driving has today really become a Western “metaphor for being” (Hutchinson), then common roadside signs proclaiming “Right lane must exit” or “Through traffic merge left”, inventions such as the automatic transmission, and the agreeable straightness of freeways can all be understood as symptoms of an ongoing socio-political struggle between the driver as democratic agent, and the state as institu-tionalized regulatory force. Nowhere is this more obvious than in the context of urban traffic, where private motorized transportation represents both the supreme (if illusory) expression of personal freedom, and official efforts to channel individualism by obliterating its sense of direction and ideological divergence. On the concrete proving grounds of the clogged inner-city freeway, “nomad science” and “state science” (Deleuze & Guattari) thus oscillate between the pseudo-liberatory expressivity of mainstream car culture and the self-effacing dromoscopic “amnesia of driving” (Baudrillard). Are a city’s multitudes of cars resistant “projectiles” (Virilio) or, rather, hegemonic “sites of containment” (Jane Jacobs)? This essay approaches the complex tensions between “untamable” democratic mobility and state-regulated transit by way of two Hollywood-produced films that focus on traffic in Los Angeles: in Collateral (2004), a cab driver comes to recognize and transcend the hopelessly directionless circularity dictated by his job; in Falling Down (1993), a frustrated civil service employee abandons his car on a rush-hour freeway and decides to walk home, forced to traverse the supposedly unwalkable city without the “masking screen of the windshield” (Virilio). As they “quit stalling”, both protagonists become dangerous variants of the defiant nomad – one a driver who remains on the road but goes “under the radar”, the other a transient pedestrian whose movement becomes viral and unpredictable. My analysis of the films’ metropolitan setting and of the incessant movement that marks both narratives links political and philosophical economies of motion, speed, and transit to a discussion of the various bandes vagabondage (Deleuze & Guattari) that are formed between city and driver, driver and car, and car and pedestrian. In this discussion, the inner-city road emerges as a primary site of conflict between civic rule and individual subject, and the flow of urban traffic comes to represent the tensions generated in spaces where movement is understood as both liberating and as a form of control.

scholarly journals An Assessment on the Locational Pattern of Petrol Filling Stations along Lasu-Isheri Road Corridor

2020 ◽  
Vol 6 (2) ◽  
pp. 6-29
Author(s):  
Esther O. Akinsulire ◽  
Samson O. Fadare
Keyword(s):  
Road Traffic ◽  
Traffic Volume ◽  
Primary Data ◽  
Positioning System ◽  
Z Score ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
The Road ◽  
Lagos State ◽  
On The Road

This study aimed at assessing the location and spatial distribution of petrol filling stations along LASU/Isheri Road, Ojo, Lagos state. The objectives are to map out all the petrol filling stations in along Lasu/Isheri road; to examine the volume of traffic along the road corridor; to determine the contribution of petrol filling stations to the traffic volume on the road, and to ascertain the road traffic challenges that are caused by the petrol filling stations (PFS). Geographical Positioning System (GPS) was employed to collect primary data; also, questionnaires and traffic count sheets were employed. The study found that the PFS along the road corridor is clustered with a Z-score of -7.34 and NNI of 0.440285. Also, the maximum peak hour volume was estimated to be 4198.6 pcu/hr. The PFS along the corridor are seen to contribute significantly to the traffic volume on the corridor. Finally, the dominant traffic challenges along the corridor include traffic gridlock which sometimes results into road traffic crashes which are triggered by the concentration of PFS in the study area, the proximity of PFS to a road intersection, overflow of the queue into the roadway, and to a minimal extent parking of tankers along the roadway and lack of setback. This study suggests strategies that can be adopted for locating PFS to ensure the free flow of traffic along the road corridor where they are located.

scholarly journals OPTIMIZATION OF MANAGEMENT OF URBAN LIGHTS WITH THE USE OF NEURAL NETWORKS

THE BULLETIN ◽  
2021 ◽  
Vol 389 (1) ◽  
pp. 14-17
Author(s):  
A.А. Suleimen ◽  
G.B. Kashaganova ◽  
G.B. Issayeva ◽  
B.R. Absatarova ◽  
M.C. Ibraev
Keyword(s):  
Neural Networks ◽  
Mathematical Model ◽  
Traffic Management ◽  
Urban Traffic ◽  
Control Parameters ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
On The Road

One of the most pressing problems of large cities is the problem of traffic management of vehicles. The reason for this problem is an imperfect way to manage traffic flows. Traffic light regulation is of particular importance in traffic management. Most modern traffic light control systems operate at set time intervals and are not able to cope with the constantly changing situation on the road. A promising direction for solving this problem is to optimize the system using artificial neural networks. The advantage of neural networks is self-learning, which allows the system to adapt to the changing situation on the road. Despite numerous attempts, it has not yet been possible to obtain a high-quality mathematical model of urban traffic management. This model should determine the functional dependence of transport flow parameters on control parameters. Nowadays, traffic flows are regulated everywhere by means of traffic lights. If we can get a fairly accurate mathematical model of traffic flows, we can determine the optimal duration of the traffic signal phases to achieve the maximum capacity of the road network node. A fairly accurate mathematical model of traffic management that works in predictive mode will display an estimate of the optimal control parameters, as well as make correct decisions in emergency situations. Well-known mathematical models of road traffic take into account only the average values of traffic flows, and not the exact number of cars on each road section at a particular time.

scholarly journals REVIEW ON THE ROAD TRAFFIC NOISE ASSESSMENT

2016 ◽  
Vol 22 (1) ◽  
Author(s):  
PETROVICI ALINA ◽  
TOMOZEI CLAUDIA ◽  
NEDEFF FLORIN ◽  
IRIMIA OANA ◽  
PANAINTE-LEHADUS MIRELA
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Legal Aspects ◽  
Urban Traffic ◽  
Road Traffic Noise ◽  
Action Plans ◽  
Noise Mapping ◽  
The Road ◽  
On The Road

<p>This paper presents a synthesis of current state of the assessment of road traffic noise in urban areas considering economic, social and legal aspects. Therefore, there were described several prediction methods of the urban traffic noise. These methods are useful in calculating the exposure of the population at noise levels which exceed the permissible limits. Mapping is one of the most common methods used for the assessment of noise. Whether it is industrial, airport, rail or road traffic noise, noise mapping provides accurate data needed later in developing action plans against noise. The road traffic noise assessments are performed periodically, and a representative picture of the noise in the analysed areas is obtained. Then, the action plans can be developed in order to reduce road traffic noise, where it is necessary.</p>

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