scholarly journals MOTION BASED AUTOMATIC STREETLIGHT SYSTEM WITH VEHICLE SPEED SURVEILLANCE

Author(s):  
Rezwan us Saleheen ◽  
Abu Salman Shaikat ◽  
Saiful Islam ◽  
Md. Rezwanur Rahman

Extravagance of electrical energy and human efforts is a common context while using manual switching of streetlights. In most of the cases, the streetlights remain ON during evening, night, even daylight the lights manually are switched OFF. This leads to a lot of energy wastage because lights keep glowing even when there is absolutely no necessity of it. This study aims to develop a smart street light system which glows when the vehicle or pedestrian enters the certain point of the road and make the light be in OFF/Dim position when it is not required. An illustration consisting of a transmitter and a receiver are made to accomplish the goal. The proposed system can turn ON the lights while nightfall and OFF the lights detecting the appearance of daylights. Meanwhile, presence as per the requirement. Hence, the street light will ON only when there are road users are present over there. The system is incorporated with a speed measuring section to reduce rash driving while the road has relatively low traffic density. Compared to the conventional street light system, this streetlight can reduce redundant energy consumption as well as reckless driving tendency.

2021 ◽  
Vol 11 (4) ◽  
pp. 5577-5594
Author(s):  
Chandla Ellis ◽  
Tirumala Raju Vineetha ◽  
Segu Sravana Keerthi ◽  
S.P. Kalpana ◽  
R. Roshni Karen

Enormous amount of electrical energy is consumed in urban areas by means of street lights. Currently, the street lights are turned on and off manually which will lead to wastage of electrical energy. Due to inadequate dimming and low efficiency of lights, current is being wasted. The main aim of this smart LED system is to create a street light which will behave according to its surrounding. This LED will turn on automatically during dark time and off during bright time with the help of LDR. It will remain dim when there is no one near the light and turns on bright when people pass by it. By doing this, huge amount of energy is being saved. Though solar energy is efficient, it can’t work during rainy season. Thus, piezoelectric sensor is a good replacement of it. It converts the pressure that applied on it to electrical energy. This sensor is fixed in the road which will convert the pressure applied to it by the vehicles to electrical energy which can be utilized by the LEDs. Finally, this system aims to present an overview of a profitable and green solution to the energy consumption problem imposed by street lighting.


Author(s):  
Imam Suhadi ◽  
Nuril Mahda Rangkuti

<em>Teransportasi is the most important means in a country, the development or absence of a country can be measured from the progress teransportasi existing in a conutry, the problems that many occur in Indonesia is a high traffic accident level, especially at the intersections of every road in Indonesia.Accidents are accidental or unexpected events that result in death, injury, or damage to objects. The outline of the accident is caused by four factors, namely human, vehicle, road and environment.TRAFFIC CONFLICT TECHNIQUE (TCT) is a method of observation conducted by collecting accidents that almost happened and see the pettern of the occurrence of accidents. Traffic Conflict Technique (TCT) developed by Departeman of traffic planning and engineering di Lund University di Swedia. Time to Accident (TA) is the time left since evasive action is done until the time of the collision if the road users do not change the speed of the vehicle and does not change the direction of the speed of the vehicle. The TA value is calculated based on the estimated distance (D) and vehicle speed (V) obtained from the survey results.After doing research with TCT method, it is found that the location of the research has the potential to couse an accident.In other words, this method can be used to improve the safety and comfort of road users, can provide a picture of the point of conflict at the intersection of a potential cause of accidents.</em>


Author(s):  
Ray Saeidi Razavi ◽  
Peter G. Furth

At signalized intersections, permitted left turns (i.e., on a green ball, after yielding) across multiple through lanes and across a separated bike lane or bike path present a threat to bicyclist safety. A conflict study of two such intersections with a bidirectional bike path found that when cyclists cross while a vehicle is ready to turn left and there is no opposing through traffic to block it, the chance of the left-turning motorist yielding safely was only 9%, and the chance of their yielding at all—including yielding only after beginning the turn, then stopping in the opposing through lanes—was still only 37%. Motorist non-yielding rates were worse toward bikes arriving during green, toward bikes approaching from the opposite direction (i.e., riding on the right side of the road), and toward bikes facing a queue with multiple left turning vehicles. Of 112 cyclists who arrived on green when there was at least one left-turning car, but no opposing through traffic blocking it, 73 had to slow or stop to avoid a collision. Although these conflicts could be essentially eliminated using protected-only left turn phasing (turn on green arrow), common existing criteria prefer permitted left turns to reduce vehicular delay. A case study shows how, by considering multiple signalization alternatives, it can be possible to convert left turns to protected-only phasing without imposing a substantial delay burden on vehicles or other road users.


Transport ◽  
2008 ◽  
Vol 23 (2) ◽  
pp. 144-149 ◽  
Author(s):  
Jonas Daunoras ◽  
Vaclovas Bagdonas ◽  
Vytautas Gargasas

The article analyses the problem of further development of geographic informational systems with traffic monitoring channel (GIS‐TMC) in order to present the road users with effective information about the fastest (the shortest in respect of time) routes and thus to improve the use of existing city transport infrastructure. To solve this task it is suggested to create dynamic (automatically updated in real time) street passing duration base, for support of which a city transport monitoring system operating in real time is necessary, consisting of a network of sensors, a data collection communications system and a data processing system. In the article it is shown that to predict the street passing duration it is enough to measure speed of transport in the characteristic points of the street. Measurements of traffic density do not significantly improve accuracy of forecasting the street passing time. Analytical formulas are presented meant to forecast the street passing time.


2014 ◽  
Vol 15 (2) ◽  
pp. 91-96
Author(s):  
Saidul Azam Chowdhury ◽  
Bashirul Haque ◽  
Golam Sarwar

Abstract In this paper, a method has been developed based on historic traffic data (vehicle speed), which helps the commuters to choose routes by their intelligence knowing the traffic conditions in Google maps. Data has been collected on basis of video analysis from several segments between Tuker Bazar and Bandar Bazar route. For each of the video footage, a reference length has been recorded with measurement tape for use in video analysis. Software has been also developed based on Java language to get the traffic information from historic data, which shows the output as images consisting of traffic speed details on the available routes by giving day and time limit as inputs. The developed models provide useful insights and helpful for the policy makers that can lead to the reduction of traffic congestion and increase the scope of intelligence of the road users, at least for the underdeveloped or developing country where navigation is still unavailable.


2020 ◽  
Vol 1 (1) ◽  
pp. 34-38
Author(s):  
Sapto Parjogo

Billboard is the type of outdoor advertising. For this reasonable effectiveness of the billboards were placed and selected on the road that has high traffic density. Furthermore, in order to attract attention, the billboard is equipped with powerful lights large enough to get eye catching effect. At certain hours of relatively low traffic density, so that the expected level of effectiveness of billboards as a function of promotion will also be decreased. In these conditions for reasons of energy saving light energy should be reduced or even turned off. The problem is what time the street has low traffic density. Based on these reasons, it is necessary to conserve energy on billboards as the city of Bandung by conducting a review the level of traffic density per hour and determine the feasibility level of energy use electricity for lighting Billboards.


2018 ◽  
Vol 231 ◽  
pp. 04005 ◽  
Author(s):  
Tomasz Kamiński ◽  
Małgorzata Pędzierska ◽  
Przemysław Filipek

The publication is a summary of the test results, using top-of-the-range driving simulators in RID 4D project. Experiment methodology and example of research results were presented in the article entitled: "The use of simulator studies to assess the impact of ITS services on the behaviour of the road users". The project was implemented as part of the Road Innovation Development (RID) program organized and financed by the National Centre for Research and Development and General Directorate of National Roads and Motorways (contract No. DZP/RID-I-41/7/NCBR/2016). The results of the research were used to assess the impact of ITS services on the driver’s behaviour and to calibrate the simulation software Visum/Saturn/Vissim. The result of a series of experiments is a set of data including speed, speed changes, the length of the road section on which the driver maintained constant speed and additional information on the driver’s behaviour. Information for the drivers was presented on boards and signs of variable content. The vehicle speed was analyzed along a distance of 200 m, 30 m, and then at the location spot of the variable content sign/board and 200 m after the sign. The data was also recorded in the case of the traditional speed-limiting sign.


2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Ari Wijayanti ◽  
Nur Adi Siswandari ◽  
Haniah Mahmudah ◽  
Okkie Puspitorini ◽  
Chusnul Chotimah

The increase in vehicle traffic density in a city correlates with increasing private vehicle usage. This problem is caused by the lack of public transport services. In other side, the volume of private vehicles increases the traffic density and because problems are jammed in rush hour traffic. Use of the application can help road users to know the traffic conditions at real time. The research has developed a mobile application of information about traffic condition. This application is created using Android software programming, Android Development Tool (ADT) integrated with Google Maps so it can display information points from jammed location. The information presented in the form of the location name, location coordinates (latitude, longitude), the average vehicle speed (Km / h) which pass through the area and the traffic status in the form of a solid, jammed or smoothly. The data was predicted by Backpropagation Neural Network. The performance has seen on the size of MSE (Mean Square Error). The result is the smallest MSE are 8,91x10-24, it means the chosen method has a predictability that is very close to the actual conditions of traffic situation


Author(s):  
Tom Partridge ◽  
Lorelei Gherman ◽  
David Morris ◽  
Roger Light ◽  
Andrew Leslie ◽  
...  

Transferring sick premature infants between hospitals increases the risk of severe brain injury, potentially linked to the excessive exposure to noise, vibration and driving-related accelerations. One method of reducing these levels may be to travel along smoother and quieter roads at an optimal speed, however this requires mass data on the effect of roads on the environment within ambulances. An app for the Android operating system has been developed for the purpose of recording vibration, noise levels, location and speed data during ambulance journeys. Smartphone accelerometers were calibrated using sinusoidal excitation and the microphones using calibrated pink noise. Four smartphones were provided to the local neonatal transport team and mounted on their neonatal transport systems to collect data. Repeatability of app recordings was assessed by comparing 37 journeys, made during the study period, along an 8.5 km single carriageway. The smartphones were found to have an accelerometer accurate to 5% up to 55 Hz and microphone accurate to 0.8 dB up to 80 dB. Use of the app was readily adopted by the neonatal transport team, recording more than 97,000 km of journeys in 1 year. To enable comparison between journeys, the 8.5 km route was split into 10 m segments. Interquartile ranges for vehicle speed, vertical acceleration and maximum noise level were consistent across all segments (within 0.99 m . s−1, 0.13 m · s−2 and 1.4 dB, respectively). Vertical accelerations registered were representative of the road surface. Noise levels correlated with vehicle speed. Android smartphones are a viable method of accurate mass data collection for this application. We now propose to utilise this approach to reduce potential harmful exposure, from vibration and noise, by routing ambulances along the most comfortable roads.


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