Predictions and perceptions: Defining the traffic congestion problem

Vehicle traffic congestion is reflected as delays while traveling. Traffic congestion has a number of negative effects and is a major problem in today's society. Several techniques have been deployed to deal with this problem. In this paper, we have proposed an innovative approach to deal with the problem of traffic congestion using the characteristics of vehicular ad-hoc networks (VANET). We have used the adaptive proportional integral rate controller, a congestion control algorithm designed for the Internet, to deal with the problem of vehicle traffic congestion in vehicular networks. The adaptive PI rate controller is a rate based controller that employs control theory to manage the problem of data traffic congestion in computer networks. Using simulations we have demonstrated the applicability of the algorithm in the domain of vehicle traffic congestion in a VANET.

Traffic congestion is a global and crucial problem due to increase in demand and limited network transportation structure. Complex traffic structure, imbalanced traffic flow, and uncertain event like road accident are among of the identified factors that may cause traffic congestion. Traffic congestion problem causes delay in travelling, increase in travelling cost and accident rate and may affect air pollution. Numerous approaches have been developed and proposed in solving these problems. Among them are traffic signal controls, congestion pricing, turning restrictions and traffic routing. Various methods have been employed include mathematical model, heuristic and meta-heuristics. This paper presents a review on recent approaches that have been proposed for traffic congestion problem and methods used for implementation. This review provides a bigger picture on recent approaches; provide a comparison and suggestion for future research in traffic congestion relief.

One of the most challenging and complicated issues in city management in the present decade for Bangladesh is the traffic problem. It is a very common phenomenon in almost all the cities of Bangladesh. Presently, traffic congestion problem in Bangladesh are increasing at an alarming rate. The traffic problem has become to a very dangerous arena and has already implicit agonizing extent in the cities of Bangladesh. This type of study has been conducted in Dhaka but not in Chittagong city. Traffic management in Chittagong is not well organized as Dhaka so that the problem is becoming more complicated as the number of people in Chittagong is increasing and it is getting the priority after Dhaka. This article is dedicated to determine the current condition of traffic management in Chittagong City. This article explore the causes involved in traffic congestion  including heavy concentration of vehicles, absence of adequate public transport, inadequate road infrastructure, faulty signaling equipment and   poor  enforcement of traffic rules. At the end of the paper the researchers tried to identify the solution of traffic jam in Chittagong Metropolitan City. JELclassfication: M10, M14

Traffic congestion is one of the major problems facing Yangon and is attributed to many factors including rapid population increase, poor road infrastructure, city structure, the rapid increase in the number of cars, and a lack of physical car parking plan. For this congestion problem, people can be lost their valuable time and cost. To avoid traffic congestion problems, the best choice of the urban transport system with multiple criteria such as Car Capacity (CC), Required Time (Time), Car Parking Place (PP), Required Cost (Cost), and Travelling Cost (Cost) are introduced in the proposed approach. Before applying the multicriteria analysis method, this paper analyzes the traffic congestion problem by using the Functional Resonance Analysis Method (FRAM). In this analysis, data collected from the Yangon Traffic Control Center (TCC) and show the traffic congestion status using Queuing Model. Based on the traffic congestion status, AHP is applied by identifying suitable alternative solutions of the urban transport system such as rail transport system, public bus system, taxi system, and private car system for the dedicated urban area in Yangon. As a result, the government can consider the urban transport system to avoid traffic congestion problem.

With the rapid development of China's economy, the number of vehicles has a sharp increase. It led to the traffic problem becoming more and more serious, with the problems of traffic congestion, easy to cause accidents, solving the accident no in time and so on. For the current traffic congestion problem, the paper designs a traffic warning and monitoring platform based on IoT technology. It takes advantage of computer technology, communication technology, sensor technology and so on, connecting together vehicles with the side of road infrastructures over wireless network, and finally we can know the status of the entire cars' on the monitoring platform which is at road junction. It can shorten the time of finding and dealing with accidents, improve the overall efficiency, reduce operating costs and facilitate people's life.

In these years, a problem of traffic congestion is a growing concern due to increasing vehicle holders in urban areas. One of key issues to ease the traffic congestion is a traffic signal control. In this paper, we propose a control system for traffic signals by a vehicle route sharing. The vehicle route sharing is to share position and path information (i.e., probe data) among vehicles. The shared information is used for calculating a criteria of traffic congestion called expected traffic congestion. The parameters of traffic signals (i.e., cycle, split, and offset) are optimized on the basis of the expected traffic congestion. We performed a multiagent simulation to evaluate the effectiveness of our proposed system. The results show that our proposed method can ease traffic congestion effectively compared with other traditional methods.

Traffic jam in Malaysia is a huge and complicated problem nowadays, due to the rapid increase in the demand for transportation. This causes a longer vehicle travel times, increased energy consumption, growing environmental pollution, reduced traffic safety, and a decrease in the efficiency of transportation infrastructure. Hence, controlling the flow of traffic has become a very important issue under a growing pressure to relieve traffic jam. In this study, a new Artificial Intelligence Techniques (AIT) and Simulation Model (SM) are applied in order to elicit a general diagnosis for the traffic congestion problem in Kuala Lumpur and Kuantan. An integrated model involves a Neural Network (NN), Fuzzy Logic (FL), Genetic Algorithm (GA), and Simulation Model (SM) is used. The current traffic demand data will be captured by strategically placed cameras. By receiving and processing data, we plan to use our integrated model to adjust traffic lights timing to optimize traffic flow in coordinated traffic lights systems, in order to minimize the traffic congestion through controlling traffic lights. The results of this study will be reported and used to suggest and apply more efficient transportation policies with the aim of providing useful insights on traffic congestion problem, and to assist the Malaysian decision makers to elaborate the best transportation policies.

Urban traffic congestion, inefficient use of energy and excessive emissions are replacing high socio-economic costs on an urban population. The advances made in the intelligent vehicle highway system (IVHS) technologies have increased the success potential of countermeasures. The traffic congestion, energy and environmental problems are introduced. A description of the relevant IVHS technologies is given. The use of IVHS technologies to improvements is described. Examples are drawn from North American as well as advanced Asian cities. Conclusions and recommendations are presented.

Purpose: In recent years the problem of traffic congestion and its management has become increasingly prominent. It is a hot research about how to make full use of computer simulation technology to make transportation more rational and more organized. In this paper, we focus on traffic of Beijing West Railway Station north area, and try to find a way to reduce traffic congestion in this area. Approach: In this paper, we studied the traffic flow by survey. We also built a traffic simulation model with VISSIM software. Different types of vehicles and their speed are set in model according survey data. The simulation model provides different traffic scenarios of Beijing West Railway Station north area. Findings: We found the traffic of this area up is to 1800 vehicles/hour. Heavy traffic burden causes traffic congestion in two positions: the bus hub and car drop-off point. If we can extend bus interval departure time and park cars to south square of Beijing West Railway Station, the traffic condition will be improved. Originality : This paper gives a solution to reduce traffic congestion in Beijing West Railway Station north area. The bus hub and car parking lots are the key point of traffic problem in this area.

As urbanization has been spreading across the world for decades, the traffic congestion problem becomes increasingly serious in most of the major cities. Among the root causes of urban traffic congestion, en route events are the main source of the sudden increase of the road traffic load, especially during peak hours. The current solutions, such as on-board navigation systems for individual vehicles, can only provide optimal routes using current traffic data without considering any traffic changes in the future. Those solutions are thus unable to provide a better alternative route quickly enough if an unexpected congestion occurs. Moreover, using the same alternative routes may lead to new bottlenecks that cannot be avoided. Thus a global traffic load balance cannot be achieved. To deal with these problems, we propose a Multi Agent System (MAS) that can achieve a trade-off between the individual and global benefits by giving the vehicles optimal turn suggestions to bypass a blocked road ahead. The simulation results show that our strategy achieves a substantial gain in average trip time reduction under realistic scenarios. Moreover, the negative impact of selfish re-routing is investigated to show the importance of altruistic re-routing applied in our strategy.

Fuzzy logic and deep Q learning based control for traffic lights

With the economic development, the number of cars is increasing, and the traffic accidents and congestion problems that follow will not be underestimated. The concept of the Internet of Vehicles is becoming popular, and demand for intelligent traffic is growing. In this paper, the warning scheme we proposed aims to solve the traffic problems. Using intelligent terminals, it is faster and more convenient to obtain driving behaviors and road condition information. The application of blockchain technology can spread information to other vehicles for sharing without third-party certification. Group signature-based authentication protocol guarantees privacy and security while ensuring identity traceability. In experiments and simulations, the recognition accuracy of driving behavior can reach up to 94.90%. The use of blockchain provides secure, distributed, and autonomous features for the solution. Compared with the traditional signature method, the group signature-based authentication time varies less with the increase of the number of vehicles, and the communication time is more stable.

Traffic congestion is an enormous problem at peak hours in western province. Existing transport system is not capable to overcome these complexity situations. Therefore, Srilankan government needs to find out different mode of transport to save time and money and finally economy of the country. In the past history, there was a rich water transportation system over the country. Specially, the western province has a well-distributed network of inland waterways, comprising of main rivers, streams, canals, lakes, and tanks. Most of the time, the existing waterways were used for freight transportation (timber, sand, brick, and tiles. compare to Public transportation. The study is to determine the efficient use of waterways for the public transportation focusing the travel time and fuel consumption. The existing water way network was map and find availability of other network connectivity using ArcGIS and Google Earth Pro software. Then compare it with an existing public transportation mode (bus) and checked the suitability of usage of water transportation as an alternative to reduce the existing traffic congestion problem. And proposed water way transport system, that capable of potential and strategic way to reduce the traffic congestion problem in Colombo and its sub urban areas.

Currently, one of the most popular problems is the problem of traffic congestion. This is due to the increase in the number of vehicles, as well as the transportation of passengers on certain routes, which leads to congestion of city roads, long hours of traffic jams, obstruction ofpedestrians and an increase in the number of accidents. The dynamic development of the street environment creates the task of tracing the location of public transport to improve the quality ofmunicipal transport services of cities. One of the problems with the operation of urban public transport is to control the movementof each unit of transport on a predetermined specific route. Some types of public transport do not synchronize their traffic schedule with each other or do not adhere to it at all, which creates anunfavorable situation on roads and stops. Because of this, traffic congestion and traffic congestion are created due to the unbalanced traffic of some routes. In large cities there are four types of municipal transport and each type of transport has a different number of routes of different lengths: bus; tram; trolleybus; minibuses (minibuses).Different amounts of transport may be present at the route at different times. Similarly, the distribution of transport during the day is not optimal for certain types of transport. Some types oftransport are not linked to the timetable and may arbitrarily go down the route, which creates some difficulties for citizens. Due to the large amount of public transport, there is a problem of monitoring the location, maintaining traffic statistics and determining the descending traffic Current public transit tracking systems provide publicly available transport location information. This makes it possible to develop specialized software not only to track the location of vehicles, but also to respond promptly to situations that arise. Also, all day-to-day traffic data is stored and provided as daily statistics. It is concluded that the introduction of the software product will allow the operation of municipal transport systems of the city.

فاصلۀ بین محل کار و فراغت در زندگی شهری، یکی از مسائل مهم در برنامه‏ریزی شهری است و کاهش آن از طریق جلوگیری از گسترش افقی شهری و تحقق فرم کالبدی فشرده در قالب کاربری ترکیبی امکان‏پذیر است، که نتیجة آن کاهش طول سفرها ومصرف انرژی، سرانجام کاهش آلودگی هوا و محیط زیست است. بنابراین دسترسی مطلوب یک عامل ضروری برای تحقق توسعة پایدار محیط زیست شهری است. هدف این مطالعه سنجش شاخص دسترسی و شناسایی نقاط قابل دسترس نسبت به محیط مجاور در نواحی شهر مشهد است. روش کار برای دستیابی به این هدف، شاخص دسترسی با مدل گرانشی فرصتی هنسن (تعداد جمعیت (سرشماری 1385 و مسافت بین نواحی) است که در 40 ناحیة شهرداری مشهد با ابزارهای نرم افزاری Matlab 7، ArcGIS10 محاسبه شده است. میانگین ضریب شاخص دسترسی برابر عدد 5/727 می‏باشد که حدأکثر برابر عدد 1038 و با محدودة مرکزی شهر مشهد (پیرامون محدودة حرم مطهرحضرت رضا(ع)) منطبق می‏باشد. حدأقل ضریب دسترسی برابر عدد 320 محاسبه شده است که با محدوده های پیرامونی(حاشیه‏ای) کلان شهر مشهد منطبق است. این اعداد نشان می دهد که مشهد به لحاظ شاخص دسترسی به سه منطقه: 1- منطقه با دسترسی بالا (محدودة مرکزی شهر) 2- منطقه با دسترسی متوسط(محدودة میانی شهر) 3- منطقه با دسترسی پایین (محدودة حاشیه‏ای و بیرونی شهر) تقسیم شده است. همچنین نتیجة سنجش رابطه بین شاخص دسترسی و جمعیت در سطح نواحی شهرداری مشهد با نرم افزار SPSSنشان می‏دهد که این رابطه منفی و برابر r = - 0/32 و در سطح اطمینان 0/5 معنی‏دار می‏باشد؛ یعنی با افزایش ضریب دسترسی، جمعیت نواحی شهری کاهش می‌یابد. همچنین بیانگر این واقعیت است که مناطق پرجمعیت شهر که بیشتر شامل مناطق کم درآمد نیز می‏باشد، دارای ضریب دسترسی پایینی است. افزون بر این ضریب دسترسی با فاصله از مرکز شهر مشهد به سمت نواحی پیرامونی کاهش می‏یابد.