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Intelligent Transportation Systems

JA | EN

Numbering Code
  • G-ENG02 6F215 LJ73
  • G-ENG01 6F215 LJ73
Term 2020/Second semester
Number of Credits 2 credits
Course Type Lecture
Target Student Graduate
Language Japanese
Day/Period Fri.2
Instructor(s)
  • Graduate School of Engineering, Professor UNO NOBUHIRO
  • Graduate School of Management, Professor YAMADA TADASHI
  • Graduate School of Engineering, Assistant Professor NAKAO SATOSHI
Outline and Purpose of the Course This class provides you with the outlines of engineering methodology with information and communication technology as its core element for improving the safety, efficiency and reliability of traffic and transportation systems and reducing the environmental burden. Concretely, we discuss the applicability of countermeasures, such as Travel Demand Management, modal-mix in transportation systems, traffic safety improvement schemes for relieving contemporary problems in traffic and transportation systems, in addition to brief introduction of innovative approaches to collect high-quality of real-time traffic data. Moreover, the methodology for policy evaluation and the related basic theory are explained.
Course Goals Goal of this class is to cultivate basic and critical abilities of students for implementing effective traffic and transportation management using ITS (Intelligent Transportation System).
Schedule and Contents Basics for Transportation Network Analysis,1time,
Estimation of OD Traffic Volume using Observed Link Traffic Counts,1time,
Analytical Approaches Based on Transportation Network Equilibrium,4times,
Outlines of ITS ,1time,
Traffic Management for Enhancing Efficiency,2times,
Innovative Approaches for Data Collection Using ICT,1time,
Application of ITS for Enhancing Traffic safety,1time,
Travel Demand Management and Congestion Charging,2times,
Application of Traffic Simulation,2times,
Feedback of evaluation of report examination to students,1time,
,1time,
Grading Policy Final report: 45%, Mid-term report: 45% and Mark given for class participation: 10%
Prerequisites None