Simulation Model to Reduce the Traffic Jams with a Stochastic Program

Traffic congestion needs a simulation model to reduce its effects on traffics jams and pollution. The traffic cessation caused by the large number of vehicles exceeding the capacity of the road users. This study applied a stochastic program to the traffic congestion; it causes most of the working hours to be spent on roads that indirectly place a negative impact on economic growth. It also causes serious air pollution that will worsen the overall environmental condition. Data obtained show the factors causing traffic congestion in the city of Medan and with approach the stochastic program model used to solve this problem. Data indicated that there are four factors causing traffic congestion in Medan, which are non-growth of road, economic growth, population growth, and increase of motor vehicle.Population factor; the existence of good population growth caused by natural and migration growth. It concludes that the traffic jams are due to the socio-economic factors; namely the development of community business activities. Also socio-cultural factors; the existence of changes in the pattern of life and public order due to outside influences, communication, and information systems.

Self-Driving Robotic Cars

Even the behavior of a single driver can have a dramatic impact on hundreds of cars, making it more difficult to manage traffic. While the attempts to analyze and correct the traffic patterns that lead to congestion began as early in the 1930s, it wasn't until recently that scientists developed simulation techniques and advanced algorithms to create more realistic visualizations of traffic flow. In experiments conducted by Alexandre Bayen and the Liao-Cho, which included several dozen cars in a small-scale closed circuit, a single autonomous vehicle could eliminate traffic jams by moderating the speed of every car on the road. In larger simulations, the research showed that once their number rises to 5-10% of all cars in the traffic, they can manage localized traffic even in complex environments, such as merging multiple lanes of traffic into two or navigating extremely busy sections.

KEMACETAN LALU LINTAS DI KAWASAN TLOGOSARI SEMARANG

ABSTRAK Infrastruktur merupakan suatu pembangunan fasilitas berupa fisik maupun non fisik yang sengaja dibangun untuk menujang kebutuhan masyarakat baik itu secara sosial maupun perekonomian, salah satu bentuk dari infrastruktur adalah pembangunan jalan, di mana jalan itu juga identik dengan kemacetan khususnya pada wilayah kota-kota besar maupun daerah yang memiliki aktivitas penduduk yang cukup padat. Kawasan Tlogosari Semarang merupakan kawasan yang sering terjadi kemacetan, di karenakan para pengguna jalan lebih banyak menggunakan kendaraan pribadi daripada kendaraan umum, sehingga hal tersebut juga bisa memicu kemacetan karena jumlah kendaraann yang padat, ditambah lagi faktor-faktor lain yang menyebabkan kawasan ini sering macet terlebih pada jam berangkat dan pulang kerja.Identifikasi pada penelitian ini menggunakan metode penelitian kualitatif dengan hasil penelitian yang membuktikan terdapat tiga faktor utama kemacetan tersebut yakni karena wilayah Kawasan Tlogosari Semarang merupakan wilayah yang cukup strategis, sebagai salah satu pusat perdagangan dan jasa, serta merupakan kawasan pendidikan.Kata Kunci : Kemacetan, Kawasan, Jalan ABSTRACT Infrastructure is a construction of facilities in the form of physical and non-physical that is intentionally built to support the needs of the community both socially and economically, one form of infrastructure is road construction, where the road is also synonymous with congestion, especially in large cities and regions. which has a fairly dense population activity.The Tlogosari area of Semarang is an area that often gets traffic jams, because road users use private vehicles more than public transportation, so that it can also trigger congestion due to the dense number of vehicles, plus other factors that cause this area to often get jammed especially on the way to and from work.The identification in this study uses qualitative research methods with research results that prove there are three main factors of the congestion, namely because the Tlogosari area of Semarang is a strategic area, as a center of trade and services, and is an educational area.Keyword: Congestion, Area, Road

MATHEMATICAL MODEL OF ADAPTIVE CONTROL OF THE FUNCTIONING OF A TRAFFIC LIGHT AT THE CROSSROADS OF A URBAN TRANSPORTATION NETWORK

The subject of the research is the process of modeling the functioning of a traffic light, providing adaptive control of vehicles at the intersectionsof the city transport network. In the process of functioning of urban transport networks, such phenomena as traffic jams occur, which lead tosignificant economic losses, environmental degradation, frustration of road users and other types of negative impacts. Traffic jams often occur at thenodes of the urban transport network, which are intersections - the places of intersection, abutment or branching of roads of the urban network of thesame level. One of the causes of congestion is the ineffective management of traffic flows at intersections, which is provided by such an element of theintersection as a traffic light. Within the framework of the existing transport network, traffic lights that implement adaptive control with the help ofappropriate local controllers, and more complex system controllers created on their basis, ensuring that the situation in the external environment istaken into account, which is represented by several interconnected intersections, is currently one of the most important directions for solving theproblem of traffic jams. The traffic light flow control function is implemented using a microprocessor controller, which, according to a given algorithm, switches the traffic light colors corresponding to the phases of allowing and prohibiting the movement of the vehicle in the directions of theintersection roads.The article proposes a mathematical model for building an algorithm for the functioning of a microprocessor traffic light controller, whichprovides a prompt and adequate display of situations at intersections. The main features of the model include responsiveness to changes in situations atan intersection by changing the duration of the permissive phase of movement in each cycle of traffic light operation in proportion to the length of thequeue of vehicles in the corresponding direction of travel; adequate display of the external environment by several expressions of Poisson’s law,differing in different values of the parameter, each of which corresponds to a certain daily interval of traffic light functioning; the dynamics of changesin the traffic situation due to a decrease in the number of vehicles in the queue due to the passage of the intersection by vehicles during the green phaseof the traffic light is determined on the basis of expressions that determine the movement of bodies with uniformly accelerated and uniform movement,as well as on the basis of the differential equation of the dynamics of movement of vehicles in one row taking into account the delay caused by thereaction of drivers.

Traffic Congestion and Efficient Ways to Deal with It in Tbilisi, Georgia

Traffic Congestion has become a new version of plague for urbanized areas. Massive breakthroughs in technology, increasing in production of motorized cars, global reduction in prices for automobiles and the rapid population growth in Tbilisi, Georgia has led to the urgence of complete rearrangement of transportation system in the city. As a post-Soviet Union country, Georgia has had rudiments like “Marshrutkas” (privately owned minibuses) as a primary mode of transportation. Serious research and actions started in 2019 when sustainable urban mobility plan was introduced in Tbilisi; which favors public transport and pedestrians. In the course of this project one of the main avenues was converted into complete street model and hourly parking was introduced in the city centers. However, the problem regarding traffic jams still stands. This paper contributes to analyzing current situation in Tbilisi and suggesting suitable solutions. It will cover how reversible lanes, road pricing, signalized Intersections, reserved bus lanes and parking can be adapted to Tbilisi in order to reduce traffic jams.

SAFETY PARAMETERS CONSIDERATION AT ALL STAGES OF ROAD CONSTRUCTION

This article deals with the problems of road construction taking into account safety issues. It allows to get acquainted with the procedure of the construction of the roadway with illustrations and images, graphs and calculation tables that enable to imagine the scope of work in more detail and get an idea of the technologies associated with road construction. The author studied the issue related to the smooth and comfortable movement of vehicles and revealed the ways of solving the problem associated with traffic jams and congestions. The necessary calculations were made in accordance with the standards related to road construction, and conclusions were drawn about the work done.

Cavitation treatment of water-fuel mixture for internal combustion engines

The efficiency of cavitation treatment of water-gasoline fuel mixture for power supply of automobile internal combustion engines has been experimentally investigated. It is established that cavitation treatment of this fuel mixture allows to increase the water content in it up to 15–17%, reducing the engine power by only 6–7%. This allows up to 10–15% to increase the cost of gasoline when running engines in city traffic jams and on flat and sloping sections of highways. The description of the automobile electromagnetic vibrating cavitator developed for cavitation processing of water-gasoline fuel which not only provides fuel, economy, but also increases degree of completeness of combustion of water-gasoline fuel mix is resulted. As a result, the ecology of the environment is improving.

Drivers’ Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries

A number of studies have investigated the acceptance of conditionally automated cars (CACs). However, in the future, CACs will comprise of several separate Automated Driving Functions (ADFs), which will allow the vehicle to operate in different Operational Design Domains (ODDs). Driving in different environments places differing demands on drivers. Yet, little research has focused on drivers’ intention to use different functions, and how this may vary by their age, gender, country of residence, and previous experience with Advanced Driving Assistance Systems (ADAS). Data from an online survey of 18,631 car drivers from 17 countries (8 European) was used in this study to investigate intention to use an ADF in one of four different ODDs: Motorways, Traffic Jams, Urban Roads, and Parking. Intention to use was high across all ADFs, but significantly higher for Parking than all others. Overall, intention to use was highest amongst respondents who were younger (<39), male, and had previous experience with ADAS. However, these trends varied widely across countries, and for the different ADFs. Respondents from countries with the lowest Gross Domestic Product (GDP) and highest road death rates had the highest intention to use all ADFs, while the opposite was found for countries with high GDP and low road death rates. These results suggest that development and deployment strategies for CACs may need to be tailored to different markets, to ensure uptake and safe use.