Control and optimization algorithms for air transportation systems by Balakrishnan, Hamsa

“…Keywords: Air transportation; Congestion control; Large-scale optimization; Data-driven modeling; Human decision processes…”
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Mobility in megacities. by Juliati Surya.

“…Mobility in megacities is being marked by the use private and public transportation. Congestion and pollutions remain one of major problems in megacities while urban population is constantly growing. …”
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Optimal Pricing in The Range of Urban Road Network (Case Studyof Isfahan City) by Naser Yarmohamadian, Ali Moridian Pirdusti

“…Internalizing congestion externality cost is a basis for transportation congestion pricing. This policy is implemented in many metropolitans worldwide. …”
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Environment and infrastructure development in mega-cities : the case of Shanghai, China by Shen, Feng, 1972-

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Energy transect modeling and sustainable urban cells approach: Harmonizing the urban and green tissues by Tigran HAAS, Elisabetta TROGLIO

“…The global city of the 21st century faces major challenges & crises, including social and economic stratification, wasteful consumption of resources, transportation congestion, and environmental degradation with the omnipresence of global climate change. …”
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MASTERPLAN TRANSIT ORIENTED DEVELOPMENT STASIUN MANGGARAI: TINJAUAN KESESUAIAN TERHADAP KONDISI IDEAL TEORI DAN KONDISI EKSISTING KAWASAN by , NUR AZIZAH IRAWATI, , M.Sani Roychansyah, ST., M.Eng., D.Eng

“…Not supported by adequate mass transportation, congestion in Jakarta becomes a major problem the society perceives daily. …”

Research on the big data of traditional taxi and online car-hailing: A systematic review by Tao Lyu, Peirong (Slade) Wang, Yanan Gao, Yuanqing Wang

“…These topics were included in five mainstreams as follows: (1) abundant studies often focus only on determinant analysis on given transportation (taxi, transit, online car-hailing); the exploration of ridership patterns for a multi-modal transportation mode is rare; furthermore, multiple aspects of factors were not considered synchronously in a wide time span; (2) travel behavior research mainly concentrates on the commuting trips and distribution patterns of various travel indices (e.g., distance, displacement, time); (3) the taxi driver-searching strategy can be divided into autopsychic cruising and system dispatching; (4) the spatio-temporal distribution character of TTOC's fuel consumption (FC) and greenhouse gas (GHG) emissions has become a hotspot recently, and there has been a recommendation for electric taxi (ET) in urban cities to decrease transportation congestion is proposed; and (5) based on TTOC and point of interest (POI) multi-source data, many machine learning algorithms were used to predict travel condition indices, land use, and travel behavior. …”
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Don't get taken for a ride! : designing and Implementing effective autonomous vehicle regulation in Toronto, Ontario by Gillies-Podgorecki, Benjamin M. (Benjamin Marshall)

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PENGEMBANGAN MODEL DAN ESTIMASI BIAYA KEMACETAN BAGI PENGGUNA MOBIL DAN SEPEDA MOTOR PRIBADI DI KAWASAN PUSAT PERKOTAAN by , GITO SUGIYANTO, , Prof. Dr. Ir. Siti Malkhamah, M.Sc.

“…Transportation problems in urban area are traffic congestion, air pollution and noise, queues, delay, provision of parking facilities and the low use of public transportation. Congestion caused wasteful fuel consumption due to inefficiency, wasted time, pollution and stress, as well as harmful to health. …”

Impacts of technology on the capacity needs of the U.S. national airspace system by Ausrotas, Raymond A., Simpson, R. W.

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