scholarly journals ConTraEmSis: The Congested Traffic and Emission Index Impact Analysis Amid the Large-Scale Social Restrictions (LSSR) of COVID-19 in Several Cities of West Java, Indonesia

2021 ◽  
Vol 887 (1) ◽  
pp. 012005
Author(s):  
R. Risnandar ◽  
D. Gartika
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Large Scale ◽  
Impact Analysis ◽  
Good Governance ◽  
Road Transport ◽  
West Java ◽  
Congested Traffic ◽  
Metropolitan Cities ◽  
Emission Index

Abstract In some metropolitan cities of West Java Province, the urban movability affects to the congested traffic. This study analyzes the congested traffic during the large-scale social re-strictions (LSSR) of the coronavirus disease 2019 (COVID-19) around some metropolitan cities of West Java Province in May-June 2020. The national government of the Republic of Indonesia declared a national’s LSSR just for some the essential and critical activities are being acquiesced still enforce. Our proposed method, namely, ConTraEmSis is contributed to analyze the congested traffic two months from May-June 2020. We exploit the geomatic of the congested traffic in the COVID-19 information & coordination center West Java province (PIKOBAR) dataset for Bogor, Depok, and Bekasi (Bodebek areas), Bandung areas, and whole West Java province areas. We exploit the road transport and traffic management center (RTTM) and area traffic control system (ATCS) and index their data for the Bodebek and Bandung areas. The ConTraEmSis demonstrates that the congested traffic the LSSR of COVID-19 reduces around 18%-49% every month. Instead, the Java government always launch the many good governance policies to support the LSSR of the COVID-19 system. proposed model shows that after the LSSR in 2019 and 2020, is reduced between 3.27% and 5.27%. On the week-day afternoon, we scale down between 4.52% and 4.74%. On the weekend morning, we cut down between 1.3% to 1.5% before and after LSSR of 2019 and 2020, respectively. The congested traffic trends get 24% and 41% in the weekdays and weekends, respectively, since the LSSRs. Onto the weekend afternoon, we perform 13.4% and 14.8% for reducing the CO2 emission index during the LSSR’s 2020. We achieve the important congestion get an emission index lower than 0.3.

scholarly journals Trajectory deconfliction with constraint programming

2012 ◽  
Vol 27 (3) ◽  
pp. 291-307 ◽  
Author(s):  
Nicolas Barnier ◽  
Cyril Allignol
Keyword(s):  
Constraint Programming ◽  
Traffic Control ◽  
Traffic Management ◽  
Large Scale ◽  
Programming Model ◽  
Air Traffic ◽  
Allocation Process ◽  
Flight Level ◽  
Constraint Programming Model ◽  
The Cost

AbstractAs acknowledged by the SESAR (Single European Sky ATM (Air Traffic Management) Research) program, current Air Traffic Control (ATC) systems must be drastically improved to accommodate the predicted traffic growth in Europe. In this context, the Episode 3 project aims at assessing the performance of new ATM concepts, like 4D-trajectory planning and strategic deconfliction.One of the bottlenecks impeding ATC performances is the hourly capacity constraints defined on each en-route ATC sector to limit the rate of aircraft. Previous works were mainly focused on optimizing the current ground holding slot allocation process devised to satisfy these constraints. We propose to estimate the cost of directly solving all conflicts in the upper airspace with ground holding, provided that aircraft were able to follow their trajectories accurately.We present a Constraint Programming model of this large-scale combinatorial optimization problem and the results obtained with the FaCiLe (Functional Constraint Library). We study the effect of uncertainties on the departure time and estimate the cost of improving the robustness of our solutions with the Complete Air Traffic Simulator (CATS). Encouraging results were obtained without uncertainty but the costs of robust solutions are prohibitive. Our approach may however be improved, for example, with a prior flight level allocation and the dynamic resolution of remaining conflicts with one of CATS’ modules.

scholarly journals Ontology-Based Approach for Human Competency Gap Analysis in Air Traffic Management

2019 ◽  
Vol 20 (3) ◽  
pp. 279-285
Author(s):  
Igor Kabashkin ◽  
Nika Tikanashvili
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Large Scale ◽  
Gap Analysis ◽  
Methodological Approach ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Formal Ontology ◽  
Successful Implementation ◽  
Global Engineering

Abstract The Global Air Navigation Plan (GANP) is a flexible global engineering approach that allows all States to advance their Air Navigation capacities based on their specific operational requirements. Aviation professionals have an essential role in the transition to, and successful implementation of the GANP. The development of new air traffic control technology requires new competencies from operational and maintenance personnel under the circumstances. And this, in turn, requires new education curricula for initial, vocational and advanced training in this area. The paper is focused on the creation of methodology for the partial automation of the comparison of existing and required competences of Air Traffic Management (ATM) personal and synthesis of training courses and modules, using a formal, ontology-based approach as a tool to solve these problems. One of the problems in the implementation of the GANP is that, on the one hand, there are currently no unified requirements for all categories of ATM personnel, and on the other hand, the development of ATM technologies is far ahead of the pace of training of personnel of appropriate qualifications. This problem becomes even more noticeable in countries that have just started an active modernization of ATC systems and do not have enough experience in this field. The paper describes the general methodological approach based on the education ontology modelling for human competency gap analysis in ATM and for gap analysis between the university curricula outcomes and the ATM requirements. The ontology of key personnel competencies issues for the design and integration of large-scale future ATM programmes is proposed.

scholarly journals Free Signal Management in Cities Using Density and Average Speed

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Heavy Traffic ◽  
Road Transport ◽  
Light Signaling ◽  
Dynamic Traffic ◽  
The Czech Republic ◽  
Signaling Device ◽  
Near Future

The article focuses on the issue of congested roads in cities. The problems of heavy traffic both large and smaller towns. Some towns in the Czech Republic do not have built bypasses and so there is a heavy traffic congestion at favorite times. Road transport has become one of the most popular forms of transport. This trend is unlikely to change in the near future. The current market offers dynamic traffic management but not with the appropriate effect. Our proposed method belongs to dynamic traffic control based on real traffic control. The proposed method works in real time with the light signaling device behind the monitoring sections. The function of the proposed method is to extend the free passage of the light-signaling device.

802.11p-Based VANET Applications Improving Road Safety and Traffic Management

2016 ◽  
pp. 135-168
Author(s):  
Lambros Sarakis ◽  
Theofanis Orphanoudakis ◽  
Periklis Chatzimisios ◽  
Aristotelis Papantonis ◽  
Panagiotis Karkazis ◽  
...  
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Life Quality ◽  
Road Transport ◽  
Transportation Systems ◽  
Ieee 802.11P ◽  
Wireless Communication Protocol

In the last few years Intelligent Transportation Systems (ITS) based on wireless vehicular networks have been attracting interest, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. In order to widely spread these technologies, standardization at each layer of the networking protocol stacks has to be done. Therefore, a suite of protocols along with the architecture for the wireless environments with vehicles has been developed and standardized. Both in the US as well as in Europe the selected wireless communication protocol has been the 802.11p protocol developed by the IEEE. In this chapter, we discuss the potential impact of ITS towards achieving the above targets of improving road safety and traffic control. We review the overall architecture and the protocol functionality and present in detail a number of applications that have been developed demonstrating selected use-cases on an 802.11p compliant system prototype. Specifically, we discuss the implementation of selected applications on the NEC's Linkbird-MX platform, which supports IEEE 802.11p based communications, showing how its functionality can be exploited to build efficient road safety and traffic management applications, and evaluate the performance of the system using an experimental testbed.

Communication Improvement and Traffic Control Based on V2I in Smart City Framework

2020 ◽  
pp. 1620-1636
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Soft Computing ◽  
Traffic Control ◽  
Traffic Management ◽  
Smart Cities ◽  
Intelligent Vehicles ◽  
Traffic Information ◽  
Congested Traffic ◽  
Intelligent Communication ◽  
Traffic Management System ◽  
Online Traffic

This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.

scholarly journals IMPROVE ROAD SAFETY WITH AUTOMATED TRAFFIC CONTROL

2021 ◽  
Vol 1 (48) ◽  
pp. 233-241
Author(s):  
Nahrebelna L ◽  
◽  
Korchevskaya A ◽  
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
Road Network ◽  
Road Traffic ◽  
Road Transport ◽  
Management Systems ◽  
Automated Control ◽  
The Road ◽  
Information And Computer Technology

The article considers automated traffic flow control systems, their classification and description. Based on the above, it can be argued that traffic control systems have the characteristics of distributed, discrete and non-stationary complex systems used to solve traffic control problems by modern means of information and computer technology. The object of research is to improve traffic control with the help of automated control systems Purpose - analysis of automated traffic management systems With the rapid growth of the car fleet, there is an overload of the street and road network of cities. Even today, the street and road network does not meet the requirements for the organization and safety of road traffic. A survey of traffic flows shows that the road network operates at the capacity limit, and in some places exceeds this limit. The main reason for this transport situation in cities is the mismatch between the level of motorization and the density of the road network. Therefore, to improve, improve traffic control, it is proposed to use automated traffic management systems. But first you need to analyze them in detail. It is noted that the efficiency of the street and road network depends entirely on the effective balanced operation of all its elements. KEYWORDS: CAR, AUTOMATED SYSTEMS, ROAD TRANSPORT MANAGEMENT SYSTEMS, TRANSPORT NETWORK, TRANSPORT FLOW.

scholarly journals Effective Traffic Management System By Using Hydraulic Footpath

2020 ◽  
pp. 305-313
Author(s):  
Chetan N. Gawali ◽  
Amit R. Bhongade ◽  
Amit M. Ramteke ◽  
Nilesh G. Landge ◽  
Prafull P. Shende Author ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Queue Length ◽  
Traffic Management ◽  
Signalized Intersection ◽  
Survey Method ◽  
Traffic Data ◽  
Congested Traffic ◽  
Hydraulic Machine ◽  
Metropolitan Cities ◽  
Traffic Management System

Vehicular traffic is the major problem in metropolitan cities because traffic congestion is increasing rapidly at signalized intersections; it results in chronic situation in dense downtown areas. Traffic congestion is also major problem for smooth transportation. So, here we adopted a mechanism which minimizes traffic problems and that mechanism is called hydraulic machine. Hydraulic machine is the mechanisms which lift the things up and down at a particular height. Our purpose is to create a mechanism which lifts the footpath at signalized intersection up and down when there is more traffic at signalized intersection. We studied about the various congested signalized intersection areas and then selected Bhim Square for our study. We collected the peak hour traffic data using videography survey method and categorized the vehicles into different classes. Calculate the queue length at bhim square using normal footpath and again calculate the queue length for same traffic data by using hydraulic foothpath. On comparing the reduction of queue length percentage we observed that hydraulic footpath is more preferable than the normal footpath for congested traffic at signalized intersection, because it reduce approximate 60% queue length. Also, hydraulic footpath gives extra space at signalized intersection and it helps to increase service volume.

Ensuring the implementation of the modernized structure and automation of air traffic control processes in the area of responsibility of the Moscow district of air traffic control

2018 ◽  
pp. 46-54
Author(s):  
A. V. Strukova
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Management System ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Security System ◽  
System Description ◽  
Functional Capabilities ◽  
Traffic Management System

The article considers the new automated air traffic management system «Synthesis AR4», as well as a system description for ensuring the implementation of a modernized airspace structure, navigation and surveillance that provides technical capabilities. A number of functional capabilities and advantages of the airspace security system are presented.

scholarly journals Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3658
Author(s):  
Qingfeng Zhu ◽  
Sai Ji ◽  
Jian Shen ◽  
Yongjun Ren
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Location Privacy ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Security Analysis ◽  
Geographical Location ◽  
Experimental Simulation ◽  
Control Center

With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches.

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