scholarly journals NEW STREET SCENE FOR PEDESTRIANS AND DRIVERS

Transport ◽  
2005 ◽  
Vol 20 (6) ◽  
pp. 248-256 ◽  
Author(s):  
Branimir Stanić ◽  
Smiljan Vukanovic ◽  
Miroslav Osoba
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Dynamic Changes ◽  
Traffic Demand ◽  
Traffic Conditions ◽  
Management Algorithm ◽  
Street Scene ◽  
The Right ◽  
Physical Capacities ◽  
Adequate Management

In the last twenty years all cities throughout the world have faced a continual increase in traffic demand. Neither a simple increase in physical capacities of the traffic network nor introduction of new traffic control systems nor similar isolated actions can be the right response to the increased traffic demands. New approaches to traffic management and application of complex new technological solutions in traffic control are called for. Besides improving safety for all participants, their main objectives are to increase the capacity of the existing infrastructure to enable its efficient exploitation in accordance with the current traffic demand and to protect urban environment from unnecessary traffic aggressive influence. It is clear that to achieve traffic flow the following issues should be taken into consideration: (1) Traffic conditions (to reduce duration and scope of traffic jams, to increase capacity and level of safety); (2) Physical surroundings (less noise and less pollution), and (3) Economic conditions (efficient usage of time, energy, space and other resources). Management of traffic means the possibility to choose an adequate management algorithm and the possibility to adapt it to the constant changes in traffic demand and not so dynamic changes in urban surrounding demand.

Efficiency-Thoroughness Trade-Off Characteristics of Air Traffic Controllers During Tower Operations

2020 ◽  
Vol 64 (1) ◽  
pp. 1745-1749
Author(s):  
Tsubasa Takagi ◽  
Miwa Nakanishi
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Autonomous Systems ◽  
Air Traffic ◽  
Trade Off ◽  
Traffic Demand ◽  
Level Of Automation ◽  
Proactive Management ◽  
Air Traffic Controllers ◽  
Balancing Efficiency

Air traffic demand has been growing for years and many countries are trying to solve this situation by modernizing their national airspace through advanced automation. Those projects aim to provide a greater level of efficiency while ensuring a safe flow of air traffic. However, human air traffic controllers have been coping with difficult situations and unexpected events by flexibly balancing efficiency and thoroughness throughout their operations. In this study, we conducted an experiment using a simulator depicting air traffic control tower operations and analyzed the trade-off decisions made by humans under varying situations. By doing so, we proposed a model with the aim of applying the results to future air traffic management systems. This could allow those autonomous systems to make decisions that are similar to those of human preferences, which could lead to a proactive management of safety and a higher level of automation acceptance.

scholarly journals A Centralized Route-Management Solution for Autonomous Vehicles in Urban Areas

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 722 ◽  
Author(s):  
Jorge Zambrano-Martinez ◽  
Carlos Calafate ◽  
David Soler ◽  
Lenin-Guillermo Lemus-Zúñiga ◽  
Juan-Carlos Cano ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Autonomous Vehicles ◽  
Traffic Management ◽  
Real Data ◽  
Prediction Equation ◽  
City Management ◽  
Traffic Demand ◽  
Traffic Conditions

Currently, one of the main challenges that large metropolitan areas must face is traffic congestion. To address this problem, it becomes necessary to implement an efficient solution to control traffic that generates benefits for citizens, such as reducing vehicle journey times and, consequently, environmental pollution. By properly analyzing traffic demand, it is possible to predict future traffic conditions, using this information for the optimization of the routes taken by vehicles. Such an approach becomes especially effective if applied in the context of autonomous vehicles, which have a more predictable behavior, thus enabling city management entities to mitigate the effects of traffic congestion and pollution, thereby improving the traffic flow in a city in a fully centralized manner. This paper represents a step forward towards this novel traffic management paradigm by proposing a route server capable of handling all the traffic in a city, and balancing traffic flows by accounting for present and future traffic congestion conditions. We perform a simulation study using real data of traffic congestion in the city of Valencia, Spain, to demonstrate how the traffic flow in a typical day can be improved using our proposed solution. Experimental results show that our proposed traffic prediction equation, combined with frequent updating of traffic conditions on the route server, can achieve substantial improvements in terms of average travel speeds and travel times, both indicators of lower degrees of congestion and improved traffic fluidity.

scholarly journals Highway capacity in work zones – experiences in foreign conditions

2020 ◽  
Vol 66 (3) ◽  
pp. 49-58
Author(s):  
Stefan Andjelkovic ◽  
Vladan Tubić
Keyword(s):  
Traffic Management ◽  
Work Zone ◽  
Level Of Service ◽  
Work Zones ◽  
Highway Capacity ◽  
Traffic Demand ◽  
Traffic Conditions ◽  
Satisfactory Level ◽  
Road Capacity ◽  
Road Work

Traffic management in the highway work zones is a challenge for all traffic engineers. Road work zones are one of the most significant problems for the normal realization of traffic conditions, which can cause various consequences that will greatly reduce capacity and reduce the level of service. On the sections in the work zone, bottlenecks appear, which result in congestion, ie. lead to an imbalance of traffic demand and road capacity. This paper provides an overview of the literature and foreign experiences and ways of regulating traffic in the work zones on the highway. Bearing in mind that we are talking about roads of the highest rank, where are sections with work zones, it is necessary to maintain a satisfactory level of service by applying the concept of regulation that will minimally interfere the normal realization of traffic conditions.

scholarly journals Development and Evaluation of a Control System for Regional Traffic Management

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
John L. McLin ◽  
William T. Scherer
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Performance Model ◽  
Preliminary Evaluation ◽  
Traffic Incidents ◽  
Traffic Conditions ◽  
Traffic Performance ◽  
Traffic Control System

Traffic congestion is a worsening problem in metropolitan areas which will require integrated regional traffic control systems to improve traffic conditions. This paper presents a regional traffic control system which can detect incident conditions and provide integrated traffic management during nonrecurrent congestion events. The system combines advanced artificial intelligence techniques with a traffic performance model based on HCM equations. Preliminary evaluation of the control system using traffic microsimulation demonstrates that it has the potential to improve system conditions during traffic incidents. In addition, several enhancements were identified which will make the system more robust in a real traffic control setting. An assessment of the control system elements indicates that there are no substantial technical barriers in implementing this system in a large traffic network.

scholarly journals Towards AI-Based Traffic Counting System with Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Duc-Liem Dinh ◽  
Hong-Nam Nguyen ◽  
Huy-Tan Thai ◽  
Kim-Hung Le
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Control Strategies ◽  
Low Cost ◽  
Counting System ◽  
Traffic Conditions ◽  
Flow Information ◽  
Edge Based

The recent years have witnessed a considerable rise in the number of vehicles, which has placed transportation infrastructure and traffic control under tremendous pressure. Yielding timely and accurate traffic flow information is essential in the development of traffic control strategies. Despite the continual advances and the wealth of literature available in intelligent transportation system (ITS), there is a lack of practical traffic counting system, which is readily deployable on edge devices. In this study, we introduce a low-cost and effective edge-based system integrating object detection models to perform vehicle detecting, tracking, and counting. First, a vehicle detection dataset (VDD) representing traffic conditions in Vietnam was created. Several deep learning models for VDD were then examined on two different edge device types. Using this detection, we presented a lightweight counting method seamlessly combining with a traditional tracking method to increase counting accuracy. Finally, the traffic flow information is obtained based on counted vehicle categories and their directions. The experiment results clearly indicate that the proposed system achieves the top inference speed at around 26.8 frames per second (FPS) with 92.1% accuracy on the VDD. This proves that our proposal is capable of producing high-accuracy traffic flow information and can be applicable to ITS in order to reduce labor-intensive tasks in traffic management.

scholarly journals Impact of using indirect left-turns on signalized intersections’ performance

2017 ◽  
Vol 44 (6) ◽  
pp. 462-471 ◽  
Author(s):  
Mahmoud Taha ◽  
Akmal Abdelfatah
Keyword(s):  
Traffic Control ◽  
Urban Areas ◽  
Signalized Intersections ◽  
Superior Performance ◽  
Operational Performance ◽  
Left Turn ◽  
Traffic Conditions ◽  
Traffic Delays ◽  
The Right ◽  
Transportation Agencies

The majority of traffic delays in urban areas occur at signalized intersections. Due to the limited availability of space and right-of-way, many transportation agencies are considering unconventional traffic control systems for intersections to improve signal efficiency and reduce overall delays. Common unconventional left-turn treatments include the right-turn followed by a U-turn (RTUT) and a U-turn followed by a right-turn (UTRT). The main goal of this study is to determine the traffic operational performance of the three left-turn treatments under different traffic conditions. The results showed that unconventional left-turn control types have less delay and travel time compared to the direct left-turn (DLT), when the U-turn locations are 200 m away from the main intersection. Also, RTUT showed superior performance over the other left-turn control types, when the U-turn locations are 100 m away from the main intersection.

scholarly journals The concept of the PRT traffic control and management sys-tem

2019 ◽  
Vol 24 (6) ◽  
pp. 400-413
Author(s):  
Mirosław Luft ◽  
Daniel Pietruszczak ◽  
Michał Chojnacki
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Optimal Number ◽  
Circulation System ◽  
Personal Rapid Transit ◽  
Traffic Conditions ◽  
Optimal Service ◽  
Traffic Management System ◽  
Control And Management ◽  
The City

The paper presented the PRT (Personal Rapid Transit) control and traffic management system. The genesis of the use of information systems for control and PRT traffic management was made. The concept of the PRT system was defined, a review of these systems and their structure was carried out. The mechanical and ergonomic systems of PRT vehicles have been described. The chassis structure and the ergonomics of the PRT vehicle cabs have been characterized. The process of estimating traffic conditions and simulations of exemplary PRT vehicles have been described. An analysis of the PRT system was carried out, the purpose of which is to determine the optimal number of PRT stations guaranteeing optimal service provision, in terms of the demand for PRT services. The stages of designing the PRT circulation system for districts on the outskirts of the city are illustrated. The OPTIMAL program tool (C-CAD) has been used.

scholarly journals Lintas-BD 1.1: Model dan Simulasi Lalu Lintas Kota Bandung

2019 ◽  
Vol 7 (2) ◽  
pp. 210-223
Author(s):  
Erwin Harahap ◽  
Farid H Badruzzaman ◽  
Yurika Permanasari ◽  
M Yusuf Fajar ◽  
Abdul Kudus
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Queuing Theory ◽  
Simulation Method ◽  
Matlab Simulink ◽  
Large Cities ◽  
Traffic Conditions ◽  
Management Method ◽  
The Government ◽  
The Right

Abstract. Traffic is a vital for land transport that connects various locations and even large cities. As civilization and population grew, traffic became more congested and resulted in congestion, a problem that can not be avoided. One solution that has been carried out by the government to overcome this problem is by applying traffic management and methods. Nevertheless, the right method without careful planning can cause nonoptimal results, besides the amount of expenditure spent in the form of costs, time, thoughts, and energy. In this study, researchers compile a traffic simulator system called "LINTAS" which serves as a tool to solve traffic congestion problems. Various methods and management designs, before they are actually implemented on the highway, can be simulated first through the LINTAS system. The benefit of LINTAS system is to test and simulate traffic conditions based on a particular method or management design. Through this simulation, the most appropriate traffic management method is expected to be found to overcome traffic congestion problem. The LINTAS simulator is compiled using the SimEvents toolbox and runs on the MATLAB-Simulink software. The LINTAS system simulation method is made based on Mathematics, specifically the Queuing Theory. Abstrak. Lalu lintas merupakan media yang sangat vital untuk berbagai sarana transportasi darat yang menghubungkan berbagai lokasi dan bahkan kota-kota besar. Seiring berkembangnya tingkat peradaban dan juga jumlah penduduk, lalu lintas menjadi semakin padat sehingga kemacetan menjadi sebuah permasalahan yang sangat sulit untuk dihindari. Salah satu solusi yang selama ini dilakukan oleh pemerintah untuk mengurai masalah kemacetan adalah dengan menerapkan metode dan rekayasa lalu lintas dilapangan. Namun metode yang tepat tanpa melalui perencanaan yang cermat, dapat berakibat kepada hasil yang tidak optimal, disamping besarnya pengeluaran berupa faktor materi biaya, waktu, pikiran, tenaga, dan sebagainya. Dalam penelitian ini kami menyusun sebuah sistem simulator lalu lintas bernama “LINTAS” yang berfungsi sebagai alat bantu dalam memecahkan permasalahan kemacetan lalu lintas. Berbagai metode dan rancangan rekayasa, sebelum diimplementasikan secara nyata di jalan raya, terlebih dahulu dapat disimulasikan melalui sistem LINTAS. Manfaat dari sistem LINTAS adalah untuk menguji dan mensimulasikan kondisi lalu lintas berdasarkan pada rancangan suatu metode atau rekayasa tertentu. Melalui simulasi ini dapat ditemukan metode manajemen lalu lintas yang paling tepat, sehingga masalah kemacetan lalu-lintas dapat diatasi. Simulator LINTAS disusun dengan menggunakan toolbox SimEvents dan dijalankan pada software MATLAB-Simulink.

Long-Term Safety Analysis of Hard Shoulder Running on Freeways in Germany

2021 ◽  
pp. 036119812199783
Author(s):  
Helen Waleczek ◽  
Justin Geistefeldt
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Road Safety ◽  
Traffic Management ◽  
Safety Level ◽  
Traffic Demand ◽  
Crash Data ◽  
Positive Effects ◽  
Accident Data ◽  
Critical Traffic

On freeways with high traffic demand, hard shoulder running (HSR) can be an effective traffic management measure to increase the capacity by providing an additional travel lane during peak hours. While the positive effects of HSR on traffic flow quality were documented in several studies, the implications of HSR on road safety are more ambiguous. This paper presents results of a study in which accident data for seven freeway sections with HSR on freeways in Germany were analyzed over a long period of 13 years. All investigated sections are equipped with variable speed limits. The evaluation of crash frequencies on the investigated freeway sections revealed a high safety level. By combining crash data and traffic data it is shown that crash occurrence depends on the prevailing traffic conditions, with congestion being the most critical traffic state in relation to safety. Therefore, safety improvements upstream of HSR segments can be related to the improved traffic flow and the reduction of congestion. In conclusion, the results of the investigation provide evidence that the implementation of HSR can improve road safety if state-of-the-art traffic control technology is applied and congestion can be relieved.

scholarly journals Selection and Ranking of the Most Suitable Drones for Sustainable Traffic Management Using Multi-Criteria Analysis Approach

2021 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer EREN
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Rank Correlation ◽  
Traffic Monitoring ◽  
Ranking Methods ◽  
Large Cities ◽  
Spearman’S Rank Correlation ◽  
The Right ◽  
Selection And Ranking ◽  
Selection Of

Abstract The traffic problem is one of the significant issues facing many large cities. So, transportation plans should be analyzed very well. Static cameras are tools and the right solution for traffic monitoring and management. But, nowadays, drones come into prominence as popular, effective, and more sustainable tools in traffic control and have been used for various traffic applications. In this study, a model is proposed for the selection of the most suitable drone under the specific characteristics to ensure a contributor to traffic management efforts. The decision model is structured with AHP and MOORA-TOPSIS and VIKOR ranking methods. The weighting of criteria is carried out by the AHP method, and a combination of AHP and ranking methods are used for the best selection. The results of the analysis were compared using Spearman's rank correlation, and it is seen that the results are at the desired level.

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