scholarly journals Designing Traffic Signal at an Unsignalized Intersection

Author(s):  
Prachi Agrawal ◽  
Preeti Kumari ◽  
Dr. Manish Dutta

The increasing number of vehicles on the road intersections has given rise to many problems like road accidents, congestions add conflicts. These problems can only be solved by deigning proper traffic signal at intersections for continuous and smooth movement of vehicles Nagpur- though the smart city- is also facing the same problem. This paper presents the proper designing and simulation of traffic signal at an unsignalized intersection at Nagpur. The paper deals with the simulation of designed signal through a programming language like Python.

2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Nassiriah Shaari ◽  
Aeni Zuhana Saidin ◽  
Asmidah Alwi

Road safety campaigns and programs have been extensively introduced and implemented in Malaysia. However, their effectiveness is still being debated. Children especially will become the unfortunate victims of road accidents if they are unaware of the danger and precaution actions to be safe on the road. In response to that, this paper introduces an application as an alternative that inculcates road safety awareness to further support existing related programs and campaigns. Particularly, an interactive web application incorporating interactive multimedia elements has been designed and evaluated. Results on the usability test indicate a promising success and highlight aspects and issues that can be further focused for improvement and enhancement. 


2016 ◽  
Vol 28 (5) ◽  
pp. 517-527
Author(s):  
Adam Stančić ◽  
Ivan Grgurević ◽  
Zvonko Kavran

Integration of the collected information on the road within the image recorded by the surveillance system forms a unified source of transport-relevant data about the supervised situation. The basic assumption is that the procedure of integration changes the image to the extent that is invisible to the human eye, and the integrated data keep identical content. This assumption has been proven by studying the statistical properties of the image and integrated data using mathematical model modelled in the programming language Python using the combinations of the functions of additional libraries (OpenCV, NumPy, SciPy and Matplotlib). The model has been used to compare the input methods of meta-data and methods of steganographic integration by correcting the coefficients of Discrete Cosine Transform JPEG compressed image. For the procedures of steganographic data processing the steganographic algorithm F5 was used. The review paper analyses the advantages and drawbacks of the integration methods and present the examples of situations in traffic in which the formed unified sources of transport-relevant information could be used.


2021 ◽  
pp. 38-40
Author(s):  
А.Р. Исмагилова

В статье раскрываются полномочия сотрудников подразделений пропаганды Государственной инспекции безопасности дорожного движения в целях профилактики дорожно-транспортных происшествий и травматизма на дороге. The article reveals the powers of the employees of the propaganda units of the State Traffic Safety Inspectorate in order to prevent road accidents and injuries on the road.


Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Nowadays, the human error is usually identified as the conclusive cause of investigations in road accidents. The human although is the person in control of vehicle until the moment of crash but it has to be understood that the human is under continued impact by various factors including road environment, vehicle and human's state, abilities and conduct. The current advances in design of vehicle and roads have been intended to provide drivers with extra comfort with less physical and mental efforts, whereas the fatigue imposed on driver is just being transformed from over-load fatigue to under-load fatigue and boredom. A representational model to illustrate the relationships between design and condition of vehicle and road as well as driver's condition and state on fatigue and the human error leading to accidents has been developed. Thereafter, the stochastic mathematical models based on time-dependent failure rates were developed to make prediction on the road transportation reliability and failure probabilities due to each cause (vehicle, road environment, human due to fatigue, and human due to non fatigue factors). Furthermore, the supportive assessment methodology and models to assess and predict the failure rates of driver due to each category of causes were developed and proposed.


2018 ◽  
Vol 7 (2.21) ◽  
pp. 309 ◽  
Author(s):  
Senthil Kumar Janahan ◽  
M R.M. Veeramanickam ◽  
S Arun ◽  
Kumar Narayanan ◽  
R Anandan ◽  
...  

Traffic signal management is one of the major problematic issues in the current situation. Such scenarios, every signal are getting 60 seconds of timing on the road at a regular interval, even when traffic on that particular road is dense. As per this proposed model in this article, which will be optimized the timing interval of the traffic signal purely depends on the number of vehicles on that particular roadside. The major advantage of this system is that it can able to decrease the more waiting time for the drivers to cross road signal.  In this model, we are using the clustering algorithms model which is based on KNN algorithm. Using this algorithm new model will be liable to determine expected required timing as per provided inputs to the signal which is vehicles count. The input of these systems is vehicles counts on each side of the road from crossing signal.  And this input will be determined on much time is to be provided. “Case studies on this system are traffic network and real-time traffic sub-networks are organized to get the effectiveness of the proposed model.”  


2019 ◽  
Vol 262 ◽  
pp. 05006
Author(s):  
Stanisław Gaca ◽  
Mariusz Kieć

Local roads (district roads) constitute an important part of the road network in Poland, making up around 29.7 % (124,945 km) of all public roads. In 2017, 10,578 accidents, which is 35.7% of all accidents in Poland, took place on local roads. These roads are used primarily by regular users who are very familiar with the defects of these roads. This means that the effects of the low technical standard of local roads and the insufficient number of road traffic devices on the safety on the road can be partly compensated for by the fact that drivers adjust their behaviour to the conditions on the road. This hypothesis can be verified through developing dependency models of road safety measures of local roads’ and technical characteristics. The article presents the research carried out based on regression models of accident prediction. The models were developed with the use of the data on the road surroundings arrangement (built-up areas, access), road condition and the extent of signposting, including data on speed limits and overtaking as well as risk exposure variables. Due to the incomplete data on accidents and the small number of accidents, different approaches to the modelling of the number of road accidents were applied.


Author(s):  
A. S. Homainejad

With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.


2021 ◽  
Vol 4 (1) ◽  
pp. 129-132
Author(s):  
Imti Tsalil Amri ◽  
Santoso Santoso ◽  
Teuku Djauhari ◽  
Brestina Gultom

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.


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