scholarly journals Model of Fire Alert System using Arduino Nano Pro

2019 ◽  
Vol 8 (4) ◽  
pp. 10346-10348

Now-a-days, fire accidents are occurring very frequently in public transport system which causes the loss of most valuable human lives and the government property. There are so many methods to avoid fire accidents and to lessen the ruthlessness of loss in case of fire accidents in public transport system. It can be done climatic conditions also [6]. So, it can further reduce the loss caused by fire accidents in trains if it is able to inform the respective establishments directly after the chances and open the emergency door automatically. In this it is proposed and design for the problem that in case sudden fire has been evacuated and when it reaches to Roof top where we place smoke and temperature sensor. And sends the location and information of issue to higher authorities and fire fighters through GSM module and GPS. When the temperature reaches maximum then automatic fire extinguisher and water sprinklers on ceiling got activated and perform their task also works according to it and in some cases if the water in the sprinkler tank getting less known by the ultrasonic sensor then the water from regular usage tanks get connected and blow off the fire. And saves property and lives.

2018 ◽  
Vol 7 (3.12) ◽  
pp. 536 ◽  
Author(s):  
Rajesh Naidu Are ◽  
R D. Prasad ◽  
P R. L. R Lokesh Babu ◽  
D Ram Babu ◽  
P Gopi Krishna

Now-a-days, fire accidents are occurring very frequently in public transport system which causes the loss of most valuable human lives and the government property. There are a number of methods to avoid fire accidents and to reduce the severity of loss in case of fire accidents in public transport system. But the damage is catastrophic as a rescue service could not reach at right time due to improper communication. So, we must further avoid and reduce the loss caused by fire accidents in buses. The main objective of our project is to detect the fire accidents and to inform the nearest respective authorities who can reach faster. Fire sensors are used to detect the fire when the crash or accidents caused. All the sensors are connected to a central controller whenever the fire is detected the controller activates the water sprinkles, sounds the alarms. A GPS module is integrated to the system through that the longitude and latitude of the location is send to the fire department authorities. Node MCU is used as the central controller in the proposed system. Final the data is send to the cloud through it will be available to all the govt. departments. Things speak cloud is used in the prototype.  


2021 ◽  
Vol 12 (1) ◽  
pp. 46
Author(s):  
Charmaine Samala Guno ◽  
Angelie Azcuna Collera ◽  
Casper Boongaling Agaton

Electrification of public utility vehicles plays a vital role in the transition towards a more sustainable transport system. However, the adoption of electric vehicles (EVs) encounters varying challenges ranging from financing issues, government policies, and public acceptance. Using the Philippines as a case, this research applies political, economic, social, technological, legal, and environmental (PESTLE) analysis to determine how different drivers affect the adoption of EVs in the public transport system from various transport stakeholders’ vantage points. Survey results identified economic and technological factors as the main barriers to the adoption of electric public transport. This includes high investment and operational costs, lack of charging infrastructure, issues in driving range and use in different terrains, and the availability of EV parts and repair stations. On the other hand, the main enabler is the significant public support for the modernization of the public transport system through EVs, backed up by policy and legal drivers. For a zero-emission public transport system, this study recommends that the government should invest in sustainable sources of energy, develop more public infrastructure, diversify the transport sector, fund the development of locally made EVs, and initiate a massive information campaign in educating the public of its advantages.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.


2021 ◽  
pp. 0308518X2110271
Author(s):  
Yao Shen ◽  
Yiyi Xu ◽  
Zhuoya Huang

As an extension of public space, the public transport system in modern society is an arena for cross-group interactions. Uncovering social segregation in public transport space is an essential step in shaping a socially sustainable transport system. Based on 2011 origin–destination flow data for London, we simulate the working flows between each pair of connected tube stations for every occupation with minimised transfer times and travelling hours and calculate the multi-occupation segregation index for all tube stations and segments. This segregation index captures the density and diversity aspects of the working population. The results demonstrate that segregation levels vary significantly across stations, lines, and segments. Transfer stations and tube segments in the city centre do not necessarily have lower levels of segregation. Those stations or segments close to a terminus can also be socially inclusive, e.g., Heathrow. Victoria is the line with the lowest levels of segregation, and Green Park is the most socially inclusive station during commuting peaks. The proposed mapping approach demonstrates the spatial complexity in the social performance of the public transport system and provides a tool for implementing relevant policy with improved precision.


2021 ◽  
Vol 13 (6) ◽  
pp. 3440
Author(s):  
Michał Baran ◽  
Duszan Józef Augustyn

The phenomenon of social exclusion caused by transport exclusion is one of the main causes of social problems in peripheral areas, as well as a major organizational challenge for public service providers and all organizations operating in the areas where this problem occurs. Transport exclusion has a negative impact on the dynamics of socioeconomic processes and may interfere with sustainable development plans of stakeholders operating in a given area. The phenomenon is characterized by particular intensity in peripheral border localities with a low population density and outdated public transport system (established in the past to meet the needs of industrial society). The aim of this analysis is to present the basic principles of a conceptual model that combines the estimation of the scale of the transport exclusion phenomenon (in accordance with the specificity of peripheral border areas) with the idea of institutionalized carpooling based on effective information management. The usefulness of the said model underwent verification with respect to the possibility of estimating the scale of transport exclusion in peripheral border areas based on the example of the Polish–Slovak border area (Lesko Commune and Snina District). During the course of the research, factors characterizing the currently functioning public transport system were also indicated. They proved the system’s inadequacy for the challenges faced by the post-industrial society.


1987 ◽  
Vol 20 (3) ◽  
pp. 95-100
Author(s):  
P. Michelberger ◽  
L. Lesley ◽  
P. Varlaki

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