2019 EJRNL PP KAI LU 1
Terbatas Yanti Sri Rahayu, S.Sos
» ITB
Terbatas Yanti Sri Rahayu, S.Sos
» ITB
Urban transit system is an important part of
city transportation, which is an interdisciplinary industry,
including traffic engineering, operation research, and
computer science. To provide smart services for passengers while applying the new technologies, it is necessary to
build an optimal transit network and transit service. A
smart transit system is processed from strategic planning,
tactical planning, operational planning, transit evaluation to marketing and policy. For each stage, large quantities of related literature have been introduced from
different perspectives. The aim of this research is to document the main smart urban transit models, topics and
implementations for future references and research in each
stage. For the planning part, this paper first summarized the
objectives, constraints, algorithms, and implications of
the models currently in use and classified the objectives
and constraints with classic category and new category.
The prominent topics and potential research were captured
clearly when comparing the two categories. The methodologies for solving those models were proposed and the
genetic algorithm and simulated annealing have been
mostly used, which will be helpful for filling the gaps for
further research. Despite of the model updates, this study
also summarized the application trends such as integrated
network design in strategic planning, synchronization and
timetable recovery from disruption in tactical and operational planning. To improve the transit system and service,
evaluation models on service reliability, service accessibility, timetable robustness, and energy consuming are
proposed, which highlight the gap between the idealized
service and the real service. Some flexible fare scheme,
investments, and commercial strategies are discussed in the
financial part. The conclusion highlighted the future scope
of the smart urban transit in passenger demand management, travel information service, facility and service optimization and shared mobility, in order to make it more
convenient for the passengers and more friendly to the
environment.
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