The rapid growth of OPEC′s domestic oil consumption

Gately, Dermot; Al-Yousef, Nourah; Al-Sheikh, Hamad M. H.

doi:10.1016/j.enpol.2013.07.044

Cited by 18 publications

(4 citation statements)

References 31 publications

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“…The primary cause of increased traffic congestion in KSA is lack of public transport and infrastructure except few main cities (Jeddah, Riyadh, Mecca, and Madinah), which has consequently resulted in increased auto-ownership. In 2013, the auto-ownership surged to 220 vehicles per 1000 persons [12]. As per statistics of US Department of Commerce, KSA imported over one million vehicles in 2016 [13].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms

et al. 2020

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Traffic signal control is an integral component of an intelligent transportation system (ITS) that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient operations at signalized intersections cause numerous problems as excessive vehicle delays, increased fuel consumption, and vehicular emissions. Operational performance at signalized intersections could be significantly enhanced by optimizing phasing and signal timing plans using intelligent traffic control methods. Previous studies in this regard have mostly focused on lane-based homogenous traffic conditions. However, traffic patterns are usually non-linear and highly stochastic, particularly during rush hours, which limits the adoption of such methods. Hence, this study aims to develop metaheuristic-based methods for intelligent traffic control at isolated signalized intersections, in the city of Dhahran, Saudi Arabia. Genetic algorithm (GA) and differential evolution (DE) were employed to enhance the intersection’s level of service (LOS) by optimizing the signal timings plan. Average vehicle delay through the intersection was selected as the primary performance index and algorithms objective function. The study results indicated that both GA and DE produced a systematic signal timings plan and significantly reduced travel time delay ranging from 15 to 35% compared to existing conditions. Although DE converged much faster to the objective function, GA outperforms DE in terms of solution quality i.e., minimum vehicle delay. To validate the performance of proposed methods, cycle length-delay curves from GA and DE were compared with optimization outputs from TRANSYT 7F, a state-of-the-art traffic signal simulation, and optimization tool. Validation results demonstrated the adequacy and robustness of proposed methods.

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Section: Introductionmentioning

confidence: 99%

Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms

et al. 2020

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“…IEA 2013; Ozturk et al 2010;Klein 2010;Luft and Korin 2009); (5) various national energy systems facing different transitional problems, in particular net exporters experiencing rapidly increasing energy demand and growing political, economic and environmental challenges (e.g. Mohammadi and Parvaresh 2014;Gately et al 2013;Al Jaber 2013;Fattouh and ElKatiri 2013;El-Katiri 2013;Al-Mulali 2011); (6) various economies having different levels of oil endowments and oil self-sufficiency and dependency, but sharing substantial market and price interdependencies (e.g. IEA 2013; ECB 2010; Luft and Korin 2009); and (7) the inclusion of a variable for the scale of oil production and a structural shift dummy for a set of oil producing countries (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

Oil rents and economic growth in oil producing countries: evidence from a macro panel

Fuinhas

Marques

Couto

2015

Econ Change Restruct

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In this paper, new approaches are taken to explore two new dimensions of the oil growth nexus that are relevant when focusing on oil producing countries. Based on panel regressions, we regress per capita income on the ratio of oil production to primary energy consumption and oil rents per capita, adding control variables and exploring a relationship analysis within a multivariate oil-growth nexus framework. The per capita oil consumption-economic growth nexus is examined in a panel of oil producing countries over a long time span , controlling for the exports of goods and services, the ratio of oil production to primary energy consumption, the oil rents, and international crude oil prices. The phenomenon of cross-sectional dependence that is present in the panel confirms that these countries share common spatial patterns, unobserved common factors, or both. The cointegration/long memory relationships, as well as the panel data estimators' appropriateness, are both analysed and discussed. A dynamic Driscoll-Kraay estimator, with fixed effects, is shown to be adequate to cope with the phenomena of heteroskedasticity, contemporaneous correlation, first order autocorrelation and cross-sectional dependence, present in the panel. Oil consumption drives economic growth, but only on the short-run. The ratio of oil production to primary energy consumption has exerted a positive impact on growth in both the short-and longrun. Oil prices only exert a positive effect on growth in the short-run. Oil rents depress growth in both the short-and long-run, suggesting that it is more a curse than a blessing for the economies.

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“…For Jeddah, there is an increasing demand for the expansion and development of the public transport infrastructure; where no organized system of public transport is established in Jeddah, and the utilization of public transport continues to stay minimal in the Kingdom in general, which has caused an increase in car ownership. The Kingdom's government has initiated a strategy to develop a public transport system comprising buses, metro, and ferries, investing SAR50 billion in the coming few years [22].…”

Section: C) Public Transportation Planning In Jeddah Citymentioning

confidence: 99%

Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design

Najem¹,

Alqahtani²

2021

IJAERA

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This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life. As neural networking system in the human body represents a smooth delivery and reception of data between the neural joints, in similarity to public transportation delivering public to multiple points/zones. Today's simulation systems depend on simulating real life to help us find an optimized solution but never the ultimate optimization. Applying an intelligent design like the human neural system into real life will deliver an ultimate solution to such a problem. Applying a neural networking system to Jeddah's traffic platform allowed us to reach an optimized map/network for the public transportation services with clear stations/stops numbers and real-life path/lane to be followed.

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The rapid growth of OPEC′s domestic oil consumption

Cited by 18 publications

References 31 publications

Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms

Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms

Oil rents and economic growth in oil producing countries: evidence from a macro panel

Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design

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