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Passenger-focused Scheduled Transportation Systems : = from Increased Observability to Shared Mobility.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Passenger-focused Scheduled Transportation Systems :/
其他題名:	from Increased Observability to Shared Mobility.
作者:	Liu, Jiangtao.
面頁冊數:	1 online resource (196 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
標題:	Civil engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355911237

Passenger-focused Scheduled Transportation Systems : = from Increased Observability to Shared Mobility.
Liu, Jiangtao.

Passenger-focused Scheduled Transportation Systems :from Increased Observability to Shared Mobility. - 1 online resource (196 pages)

Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.

Thesis (Ph.D.)--Arizona State University, 2018.

Includes bibliographical references

Recently, automation, shared use, and electrification are proposed and viewed as the "three revolutions" in the future transportation sector to significantly relieve traffic congestion, reduce pollutant emissions, and increase transportation system sustainability. Motivated by the three revolutions, this research targets on the passenger-focused scheduled transportation systems, where (1) the public transit systems provide high-quality ridesharing schedules/services and (2) the upcoming optimal activity planning systems offer the best vehicle routing and assignment for household daily scheduled activities.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355911237Subjects--Topical Terms:

561339
Civil engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Passenger-focused Scheduled Transportation Systems : = from Increased Observability to Shared Mobility.
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300 $a 1 online resource (196 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 $a Adviser: Xuesong Zhou.
502 $a Thesis (Ph.D.)--Arizona State University, 2018.
504 $a Includes bibliographical references
520 $a Recently, automation, shared use, and electrification are proposed and viewed as the "three revolutions" in the future transportation sector to significantly relieve traffic congestion, reduce pollutant emissions, and increase transportation system sustainability. Motivated by the three revolutions, this research targets on the passenger-focused scheduled transportation systems, where (1) the public transit systems provide high-quality ridesharing schedules/services and (2) the upcoming optimal activity planning systems offer the best vehicle routing and assignment for household daily scheduled activities.
520 $a The high quality of system observability is the fundamental guarantee for accurately predicting and controlling the system. The rich information from the emerging heterogeneous data sources is making it possible. This research proposes a modeling framework to systemically account for the multi-source sensor information in urban transit systems to quantify the estimated state uncertainty. A system of linear equations and inequalities is proposed to generate the information space. Also, the observation errors are further considered by a least square model. Then, a number of projection functions are introduced to match the relation between the unique information space and different system states, and its corresponding state estimate uncertainties are further quantified by calculating its maximum state range.
520 $a In addition to optimizing daily operations, the continuing advances in information technology provide precious individual travel behavior data and trip information for operational planning in transit systems. This research also proposes a new alternative modeling framework to systemically account for boundedly rational decision rules of travelers in a dynamic transit service network with tight capacity constraints. An agent-based single-level integer linear formulation is proposed and can be effectively by the Lagrangian decomposition.
520 $a The recently emerging trend of self-driving vehicles and information sharing technologies starts creating a revolutionary paradigm shift for traveler mobility applications. By considering a deterministic traveler decision making framework, this research addresses the challenges of how to optimally schedule household members' daily scheduled activities under the complex household-level activity constraints by proposing a set of integer linear programming models. Meanwhile, in the microscopic car-following level, the trajectory optimization of autonomous vehicles is also studied by proposing a binary integer programming model.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Civil engineering. $3 561339
650 4 $a Transportation. $3 558117
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0709
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Arizona State University. $b Civil, Environmental and Sustainable Engineering. $3 1179779
773 0 $t Dissertation Abstracts International $g 79-09B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10808501 $z click for full text (PQDT)