Charging Station Distribution Model - The Concept of Using the Locations of Petrol Stations in the City

2019 ◽  
pp. 99-113
Author(s):  
Marcin Staniek ◽  
Grzegorz Sierpiński
Keyword(s):  
Distribution Model ◽  
Charging Station ◽  
The City

A Distribution Model of Electric Vehicle Charging Station

2010 ◽  
Vol 44-47 ◽  
pp. 1543-1548 ◽  
Author(s):  
Zhen Po Wang ◽  
Peng Liu ◽  
Hai Bin Han ◽  
Chun Lu ◽  
Tao Xin
Keyword(s):  
City Planning ◽  
Geographic Location ◽  
Service Level ◽  
Distribution Model ◽  
The Road ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
On The Road ◽  
Charging Stations

The location and the overall arrangement of the charging stations is an important problem with the development of electric vehicles. It is related to the charging needs, city planning, service level of charging station, geographic location and competitive ability and so on. A distribution model of EV charging station is introduced in the paper. In order to describe the model preferably, this paper introduces the attractive factor of charging stations and the area-different factor. The model can give the charging station rational positions by analyzing the data of the traffic flow and the electric-consuming-rate of cars on the road. A case study is given to illustrate the applying the model.

scholarly journals TIME HEADWAY ANALYSIS TO DETERMINE THE ROAD CAPACITY

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
I Wayan Suweda
Keyword(s):  
Developed Countries ◽  
Distribution Model ◽  
Analysis Model ◽  
Time Headway ◽  
The Road ◽  
Traffic Conditions ◽  
Traffic Characteristics ◽  
Road Capacity ◽  
Headway Distribution ◽  
The City

ABSTRACT: In developed countries, road capacity values derived from time headway is in accordance to their local traffic characteristics. In theory, time headway standards are developed using statistics models. These standards however, are not necessarily relevant to use in Indonesia. This is because of the differences in traffic conditions and motorists behaviours between those in developed countries and Indonesia. This study is to develop the time headway distribution model and subsequently to determine lionk-road capacity in the city of Denpasar, Bali Province. The study consists of time headway data analysis, model calibration and validation and road capacity values??determination. The study found that normal distribution model fitted the local traffic conditions. Road capacity values are of  2,466 pcus/hour and 2,900 pcus/hour obtained from time headway model and the Indonesian Road Capacity Manual (MKJI) respectively.

HERE Expert Map Community Program-Product Portfolio Operations and Spatial Solutions

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Aditya Dhage ◽  
Aditya Borikar ◽  
Pratyush Joshi ◽  
Ujwalla Gawande
Keyword(s):  
Product Portfolio ◽  
Community Program ◽  
Charging Station ◽  
Internet Connection ◽  
The City

We are predominantly aiming at promoting the utilization of EV in countries like India considering their advantages, disadvantages, circumscriptions and opportunities. The system has been developed utilizing the database of HERE mapss which has been practiced and expanded by us utilizing the map engenderer implement. HERE Map Engenderer is a live map editing implement which has more than 45 features across 5 map categories and these categories are roads, bike lanes, walkways, POIs, and addresses. No installation is required to utilize this implement as it is a web-predicated implement that requires a stable internet connection. We have utilized HERE map engenderer implement for three main features: Identifying and marking missing roads: In HERE maps, there are different kinds of road, right through to pedestrian walkways and trails. While marking roads, HERE map engenderer provides a set of sundry roads attributes which avails in providing serviceable information about that road in HERE maps. Places of fascinates: Apart from roads, the HERE map engenderer implement can withal mark and integrate Places of Interest. Places of fascinates are the places which people visit often or the places having some paramountcy. There are more than 100 categories of POIs just in HERE map engenderer implement which provides ease to the developers or editors to integrate places as well as the customers to find and visit places. Point addressing: We can additionally integrate the addresses of houses in the locality, in the city or wherever we get the information about the addresses of places. This is called as point addressing which is withal a feature of HERE map engenderer implement. Our system comprises of amalgamation of these three features in order to develop a system which can facilely find the most proximate charging station or fuel station in the locality.

scholarly journals Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Pandji Wibawa Dhewantara ◽  
Andri Ruliansyah ◽  
M. Ezza Azmi Fuadiyah ◽  
Endang Puji Astuti ◽  
Mutiara Widawati
Keyword(s):  
Population Data ◽  
Northern Region ◽  
Space Time ◽  
Scan Statistics ◽  
Distribution Model ◽  
Monthly Data ◽  
Risk Areas ◽  
Surrounding Areas ◽  
The City ◽  
Time Scan

Four dengue serotypes threatened more than 200 million people and has spread to over 400 districts in Indonesia. Furthermore, 26 districts in most densely populated province, West Java, have been declared as hyperendemic areas. Cimahi is an endemic city with the highest population (14,969 people per square kilometer). Evidence on distribution pattern of dengue cases is required to discover the spread of dengue cases in Cimahi. A study has been conducted to detect clusters of dengue incidence during 2007-2013. A temporal spatial analysis was performed using SaTScan™ software incorporated confirmed dengue monthly data from the Municipality Health Office and population data from a local Bureau of Statistics. A retrospective space-time analysis with a Poisson distribution model and monthly precision was performed. Our results revealed a significant most likely cluster (p<0.001) throughout period of study. The most likely cluster was detected in the centre of the city and moved to the northern region of Cimahi. Cimahi, Karangmekar, and Cibabat village were most likely cluster in 2007-2010 (p <0.001; RR = 2.16-2.98; pop at risk 12% total population); Citeureup were detected as the most likely cluster in 2011-2013 (p <0.001; RR 5.77), respectively. Temporaly, clusters were detected in the first quarter of each year each. In conclusion, a dynamic spread of dengue initiated from the centre to its surrounding areas during the period 2007-2013. Our study suggests the use of GIS to strengthen case detection and surveillance. An in-depth investigation to relevant risk factors in high-risk areas in Cimahi city is encouraged.

scholarly journals Log Pearson III Distribution and Gumbel Distribution Model for Rainfall Data in Pekanbaru

2019 ◽  
Vol 9 (1) ◽  
pp. 803-807
Keyword(s):  
Human Life ◽  
Gumbel Distribution ◽  
Rainfall Data ◽  
Distribution Model ◽  
Study Results ◽  
Rainfall Model ◽  
The City ◽  
Pearson Iii Distribution ◽  
Better Than ◽  
Analyze Data

Rainfall is very important for human life. Both high and low rainfall can cause some problems, ranging from flood to drought. We can see that flood can be found in several big cities, and one of them is in Pekanbaru. Therefore, rainfall data analysis is needed to know the model and the pattern of rainfall distribution. In turn, the result can be used as a consideration for the development of the city or the formulation of policy in Pekanbaru’s governance. In this study, Log Pearson III distribution and Gumbel distribution model were used to analyze data of rainfall in Pekanbaru from January 2011 to April 2017. The purpose of this study was to determine the best rainfall model among Log Pearson III and Gumbel Distribution. To estimate parameters from both models, we used Maximum Likelihood and Newton Rephson method. Based on the use of the AIC and BIC test, this study results showed that Log Pearson III is better than Gumbel distribution in modeling the rainfall data of Pekanbaru.

scholarly journals Policy Initiation for Development of Slow Charging Station Infrastructure and E-rickshaw Vehicle Registration Process in India

2021 ◽  
Vol 1 (5) ◽  
pp. 11-15
Author(s):  
Kishore Kumar Neelam
Keyword(s):  
Sustainable Development ◽  
Electric Vehicles ◽  
Motor Vehicles ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Registration Process ◽  
Vehicle Registration ◽  
Last Mile ◽  
The City ◽  
Motorized Transport

This paper is to enclave, a policy initiation for development of slow charging station infrastructure and E-rickshaw vehicles registration process in India. EV’s (Electric Vehicles) as the new green nonpolluting vehicle for last mile connectivity within the city limits. At the E-rickshaw market a no of models available, but there is no study done for governing method, rules to follow and provision for charging infrastructure.   E-rickshaw are being considered as a priority option towards sustainable development. These vehicles are the smart choice and encouraged as feeder system for last mile connectivity. E-rickshaw mode has been excluded from NMT (Non-motorized Transport) category and included in Motor Vehicles Act (2014) as special purpose battery operated vehicle. The main objective of the paper is to creating a space for building the charging infrastructure with different tariff and to setup governing rules for E-rickshaw operators.

scholarly journals Nutrient distribution models and flow patterns in Coastal Waters and Small Islands, Tanjungpinang City, Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 36
Author(s):  
Febrianti Lestari
Keyword(s):  
Coastal Waters ◽  
High Tide ◽  
Open Water ◽  
Distribution Model ◽  
Small Islands ◽  
Distribution Models ◽  
Nutrient Distribution ◽  
Yield Model ◽  
The North ◽  
The City

Research has been done on the model of nutrient distribution and current pattern in coastal water of Tanjungpinang City. The research objective was to develop a model of nutrient distribution and current patterns in coastal waters and small islands as an effort to manage the eutofication of coastal waters and small islands in the archipelago. Determining the location of the observations was done by purposive sampling at high tide and low tide at several predetermined research stations. The results showed the nutrient distribution model in the waters of Tanjungpinang Bay, a different distribution pattern compared to the waters of the Dompak Strait, with the distribution of nutrients from the yield model at low tide and at high tide shows the same pattern, which tends to decrease offshore and high in some coastal locations. around the waters of the Sei. Carang estuary which is connected to the waters of Tanjungpinang Bay. The pattern of currents during the highest tide is bandage and full moon in coastal waters and small islands in the area of Tanjungpinang City, which shows that the inlet flows from the west of the waters, then exits towards the north into open water. However, part of the water mass in the presence of small islands around it becomes fragmented causing a turn to the south of the coastal waters of the city of Tanjungpinang, with a maximum current speed of 1.1 m/s.

scholarly journals Hygienic health risk distribution due to atmospheric air pollution in low-lying cities

2021 ◽  
Vol 282 ◽  
pp. 06008
Author(s):  
A.V. Kosarev ◽  
N.E. Komleva ◽  
S.V. Raikova ◽  
V.N. Dolich ◽  
I.V. Zaikina
Keyword(s):  
Health Risk ◽  
Warm Season ◽  
Carcinogenic Risk ◽  
Distribution Model ◽  
Respiratory Morbidity ◽  
Winter Period ◽  
Atmospheric Air ◽  
Upper Limit ◽  
Risk Distribution ◽  
The City

The total excess of components which pollute the atmospheric air of the city of Saratov has been increasing from May to October and is most evident for the locations of transport interchanges. The allocation of polluting components of atmospheric air corresponds to the distribution model of structural basin cities. The hazardous level of non-carcinogenic health risk caused by inhalation of substances polluting the atmospheric air of Saratov (HQ>1) is determined by the existence of nitrogen oxides, hydrogen sulfide, ammonia, and formaldehyde. Non-carcinogenic risk of hazard has a tendency to increase in the warm season – from May to July), as well as in the winter period (January-February). The carcinogenic health risk associated with the existence of formaldehyde in the air exceeds the upper limit of the permissible risk. The highest values of the carcinogenic risk match the monitoring points situated near motorways. This may be due to photochemical processes involving the results of incomplete fuel combustion in engines, in which formaldehyde is formed. The anticipated increase in respiratory morbidity due to chronic inhaled exposure to NO2 in children aged 6-7 years ranges from 44 to 79 percent, while the grow-up rates are higher in girls.

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