Fuel Loss and Related Emissions Due to Idling of Motorized Vehicles at a Major Intersection in Delhi

Author(s):  
Niraj Sharma ◽  
P. V. Pradeep Kumar ◽  
Anil Singh ◽  
Rajni Dhyani
Keyword(s):  
2020 ◽  
pp. 47-52
Author(s):  
Jihan Melasari ◽  
Rafki Imani ◽  
Juni Saputra

Traffic congestion that occurs almost everyday in Pekanbaru City has caused losses in travel time and economic losses such as waste of fuel, loss of productive time and health costs. One of the causes of this congestion is the growth of road infrastructure that is not proportional to the growth in the number of motorized vehicles. Besides that, the existence of Pasar Pagi Arengka at the Jl. HR Soebrantas and Jl. Soekarno-Hatta, Riau Province, has also added to the level of congestion. Overcoming this problem, the Riau government together with the Dinas Pekerjaan Umum (PU) of Riau Province built a flyover or overpass at Pasar Pagi Arengka junction to overcome the congestion problem. The research data was obtained by conducting a survey to the location through a questionnaire to the community around the flyover with the number of respondents determined as many as 60 respondents. Calculation analysis is performed using SPSS Statistics. The results of the study stated that the impact caused by the construction of a flyover at the intersection of Pasar Pagi Arengka in Pekanbaru, Riau Province, to the community was quiteinfluential. 


“We regard the recent science –based consensual reports that climate change is, to a large extend, caused by human activities that emit green houses as tenable, Such activities range from air traffic, with a global reach over industrial belts and urban conglomerations to local small, scale energy use for heating homes and mowing lawns. This means that effective climate strategies inevitably also require action all the way from global to local levels. Since the majority of those activities originate at the local level and involve individual action, however, climate strategies must literally begin at home to hit home.”


Dharmakarya ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 145
Author(s):  
Lienda Noviyanti

As the times and technology became more sophisticated, human needs and mobility also increased. One such technology is vehicle. It cannot be denied that motorized vehicles and cars have now become the most important parts of everyday life. Vehicle protection is very important to keep vehicles safe, especially in areas prone to theft. Protection of the vehicle itself is divided into two ways, namely by personal and insurance methods. The fact is that vehicle protection carried out by Desa Sayang residents is still very minimal, which is caused by a lack of knowledge and understanding of citizens about the importance of vehicle protection. Seen from only a few residents who have insurance services to protect their vehicles. Measuring the perceptions of residents of RW 03 Desa Sayang, Jatinangor Subdistrict, Sumedang Regency is divided into 2 things, namely knowledge (cognition) and behavior (konasi). Of the 97 informants interviewed, it was found that people's knowledge of insurance was not good. While their knowledge of vehicle protection in general is quite good. In addition, vehicle ownership also affects individual knowledge of insurance and vehicle protection. Unfortunately, protection of vehicles in the form of insurance is rarely done by residents because most are hampered in terms of costs and feel they do not need it. Therefore, a perception survey and vehicle protection socialization were made in Sayang Village, Jatinangor Sub-District, Sumedang Regency so that residents would be more aware of maintaining their vehicles.


2021 ◽  
Vol 13 (15) ◽  
pp. 8281
Author(s):  
Andreas Keler ◽  
Patrick Malcolm ◽  
Georgios Grigoropoulos ◽  
Seyed Abdollah Hosseini ◽  
Heather Kaths ◽  
...  

Detailed specifications of urban traffic from different perspectives and scales are crucial for understanding and predicting traffic situations from the view of an autonomous vehicle (AV). We suggest a data-driven specification scheme for maneuvers at different design elements of the built infrastructure and focus on urban roundabouts in Germany. Based on real observations, we define classes of maneuvers, interactions and driving strategies for cyclists, pedestrians and motorized vehicles and define a matrix for merging different maneuvers, resulting in more complex interactions. The sequences of these interactions, which partially consist of explicit communications, are extracted from real observations and adapted into microscopic traffic flow simulations. The simulated maneuver sequences are then visualized in 3D environments and experienced by bicycle simulator test subjects. Using trajectory segments (in fictional space) from two conducted simulator studies, we relate the recorded movement patterns of test subjects with observed cyclists in reality.


2021 ◽  
Vol 03 (01) ◽  
pp. 17-24
Author(s):  
Nadia Slimani ◽  
Ilham Slimani ◽  
Nawal Sbiti ◽  
Mustapha Amghar

Traffic forecasting is a research topic debated by several researchers affiliated to a range of disciplines. It is becoming increasingly important given the growth of motorized vehicles on the one hand, and the scarcity of lands for new transportation infrastructure on the other. Indeed, in the context of smart cities and with the uninterrupted increase of the number of vehicles, road congestion is taking up an important place in research. In this context, the ability to provide highly accurate traffic forecasts is of fundamental importance to manage traffic, especially in the context of smart cities. This work is in line with this perspective and aims to solve this problem. The proposed methodology plans to forecast day-by-day traffic stream using three different models: the Multilayer Perceptron of Artificial Neural Networks (ANN), the Seasonal Autoregressive Integrated Moving Average (SARIMA) and the Support Machine Regression (SMOreg). Using those three models, the forecast is realized based on a history of real traffic data recorded on a road section over 42 months. Besides, a recognized traffic manager in Morocco provides this dataset; the performance is then tested based on predefined criteria. From the experiment results, it is clear that the proposed ANN model achieves highest prediction accuracy with the lowest absolute relative error of 0.57%.


2016 ◽  
pp. 1617-1625
Author(s):  
Yusheng Ci ◽  
Zhishi Liu ◽  
Shuni Zheng ◽  
Lina Wu ◽  
Zilin Bian ◽  
...  

2021 ◽  
Author(s):  
Dil Rowshan

This study aimed to explore the impact of the Places to Grow Plan 2006 on travel behavior of the work commuters living in GTHA. A comparative analysis was done between the year 2001 and 2011 which represent the situations five year before and after the implementation of the Plan. Data were collected from Transportation Tomorrow Survey. The study revealed that in 2011, energy consumption by motorized vehicles increased in the Traffic Assessment Zones of GTHA around the Growth Centres designated by the Places to Grow Plan. Active transportation increased mainly in Toronto in 2011. It is apprehended that the intensification strategy of the Places to Grow Plan contributed in increasing the energy consumption of work commuters either by increasing the number of trips or length of trips made by motorized vehicles (including cars and different forms of transit) which also affect the Greenhouse Gas emissions in the atmosphere.


2020 ◽  
Vol 1 (2) ◽  
pp. 97-109
Author(s):  
Fathan Pangestu ◽  
Andri Andri

Palembang City is one of the big cities in Indonesia. Along with the increasing population and the increasing number of motorized vehicles, it will certainly have an impact on the increasing number of traffic accidents in the city of Palembang. In this study, the writer will determine the pattern of traffic accidents by using the fp-growth algorithm and using various variables. The variables that will be used consist of weather, time of incident, road geometry, profession, level of injury. This research is expected to be a reference for the police to be able to take anticipatory measures in order to reduce the number of traffic accidents in the Palembang City area. The fp-growth algorithm can be applied properly to determine the pattern of the causes of traffic accidents in the city of Palembang by using 2 minimum support of 40% and 50% and 2 minimum confidence of 70% and 90%. Based on the resulting rules, there are rules with the highest confidence value of 98% with these rules: When an accident occurs with a Side-Side accident type, the accident occurs in sunny weather conditions


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