Proposed ICT-Based Transportation Model: EEG

2017 ◽  
pp. 31-38 ◽  
Author(s):  
Archana Singh ◽  
Sakshi Goel ◽  
Hina Gupta ◽  
Vikas Deep
Keyword(s):  
Transportation Model

A Transportation Model Assessment of the Risk to Native Mussel Communities from Zebra Mussel Spread

1998 ◽  
Vol 12 (4) ◽  
pp. 788-800 ◽  
Author(s):  
Daniel W. Schneider ◽  
Christopher D. Ellis ◽  
Kevin S. Cummings
Keyword(s):  
Zebra Mussel ◽  
Model Assessment ◽  
Transportation Model

scholarly journals Assessing the Market for Poultry Litter in Georgia: Are Subsidies Needed to Protect Water Quality?

2011 ◽  
Vol 43 (4) ◽  
pp. 553-568 ◽  
Author(s):  
Jeffrey Mullen ◽  
Ulugbek Bekchanov ◽  
Berna Karali ◽  
David Kissel ◽  
Mark Risse ◽  
...  
Keyword(s):  
Water Quality ◽  
Poultry Litter ◽  
Focused Attention ◽  
Water Protection ◽  
Nutrient Loads ◽  
Transportation Model ◽  
Synthetic Fertilizer ◽  
Protection Goals ◽  
Subsidy Program ◽  
The Relationship

Concerns about nutrient loads into our waters have focused attention on poultry litter applications. Like many states with a large poultry industry, Georgia recently designed a subsidy program to facilitate the transportation of poultry litter out of vulnerable watersheds. This paper uses a transportation model to examine the necessity of a poultry litter subsidy to achieve water protection goals in Georgia. We also demonstrate the relationship between diesel and synthetic fertilizer prices and the value of poultry litter. Results suggest that a well-functioning market would be able to remove excess litter from vulnerable watersheds in the absence of a subsidy.

scholarly journals The Efficiency of Melinjo (Gnetum gnemon L.) Chip Supply Chain in Bantul District, Province of Yogyakarta

Agro Ekonomi ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 207
Author(s):  
Sunendar Senendar ◽  
Dwidjono Hadi Darwanto ◽  
Irham Irham
Keyword(s):  
Supply Chain ◽  
Random Sampling ◽  
Sampling Method ◽  
Minimum Cost ◽  
Simple Random Sampling ◽  
Model Analysis ◽  
Transportation Model ◽  
Gnetum Gnemon

Melinjo chip is one of the typical foods in Yogyakarta made of melinjo nuts. The production center of melinjo chip is located in Banguntapan and Pajangan Sub Districts, Bantul District. The purpose of this study is to determine the efficiency of the supply chain measured with transportation model analysis. The number of respondents in this research was 50 producers of melinjo chip in Bantul District, taken by simple random sampling method. While the snawball sampling method was used to get 5 (five) collector traders, 5 (five) large traders and 26 (twenty six) melinjo chip retailers that taken by following melinjo chip sales distribution from the producer to Market of Piyungan, Demangan, Kotagede, Sentul, Beringharjo, Bantul, Legi, and Magelang. The supply chain actors of melinjo chip are melinjo farmers, melinjo chip producers, collecting traders, large traders, retailers, consumers, packaging producers, production workers, haulers, and firewood providers. The analysis of transportation model with minimum cost illustrates that Wirokerten Village from Banguntapan Sub District allocate the production of melinjo chip to Market of Beringharjo and Piyungan, while Potorono Village allocates the to Market of Demangan. Sendangsari and Triwidadi Village from Pajangan Sub District allocate the production of melinjo chip to Market of Beringharjo, while Guwosari Village allocates to Market of Beringharjo, Bantul, and Legi.

scholarly journals Rerepresenting Autonomated Vehicles in a Macroscopic Transportation Model

2019 ◽  
Vol 48 (3) ◽  
pp. 269-275 ◽  
Author(s):  
Árpád Török ◽  
Zsolt Szalay ◽  
Gábor Uti ◽  
Bence Verebélyi
Keyword(s):  
Transportation Network ◽  
Autonomous Vehicle ◽  
System Level ◽  
Automated Vehicles ◽  
Transportation Model ◽  
External Variable ◽  
Constant Growth ◽  
Definition Phase ◽  
Modelling Process ◽  
Relevant Factors

The main goal of this article is to determine a comprehensive and well applicable model architecture, which is adequate to estimate the system level advantages with regard to automated transportation and which is appropriate to determine possible costs and losses with regard to the approach of such transport modes. In the study the Budapest Transportation Model is applied. Taking autonomous vehicle penetration into account as an external variable, in the analysis a constant growth is assumed in the penetration of automated vehicles. This article has taken the most relevant factors of transportation network into account with regard to automated cars. It is also important to mention that the paper presents the most important modelling phases, where automated cars can be taken into account during the macroscopic modelling process. In the first step of the process during the network definition phase it is possible to consider the effect of automated vehicles on the transport system (e.g. separated routes). The next phase where the effect of automated vehicles should be taken into consideration is the mode choice step (e.g. different demand segments). And finally traffic assignment step, where the effect of automated vehicles can be represented. The easiest way for this is the modification of passenger car units through the parameter of assigned traffic per capacity ratio.

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