Transportation Networks and Smart Mobility: Methods and Solutions offered by MIT University
- Private University
168 acre campus- Estd. 1861
Transportation Networks and Smart Mobility: Methods and Solutions at MIT University Overview
Duration | 5 days |
Total fee | ₹2.80 Lakh |
Mode of learning | Online |
Schedule type | Self paced |
Course Level | UG Certificate |
Transportation Networks and Smart Mobility: Methods and Solutions at MIT University Course details
- For Professionals in the mobility industry
- For Individuals with experience in transportation consulting, planning, and related government agencies
- Understand transportation network demand and supply models
- Distinguish among alternative approaches to dynamic traffic assignment and traffic simulation
- Assess the advantages and disadvantages of alternative network modeling and simulation methods
- This course presents theory of transportation modelling and simulation techniques, with a focus on Smart Mobility solutions and real-world applications
- It provides an in-depth study of the most sophisticated traffic simulation models, demand modeling methods, and related analytical techniques
- In addition, the course covers recent developments in modelling, simulation, operations of smart mobility services, and machine learning applications in transportation
Transportation Networks and Smart Mobility: Methods and Solutions at MIT University Curriculum
Traffic Performance
Modeling and Simulation Approaches for Future Mobility
Microscopic and Mesoscopic Traffic Simulation
Static and Dynamic Network Supply Models
Smart Mobility
Analyzing Smart Mobility
Automated and Connected Vehicles in Mixed Traffic
Bi-level Optimization Algorithms for Smart Mobility
Mobility of the Future Outlook
Demand and User Behavior
Overview of Discrete Choice Analysis
Machine Learning Concepts
Route and Time-of-Travel Choice
Traffic Assignment
Equilibrium and Day-to-Day Dynamics
DTA Algorithms and Applications
Pricing and Travel Time Reliability
Real-Time Systems
Public Transportation Models
Framework and Low Frequency Services
High Frequency Services
Freight Models
Freight Data and Economic Activity Models
Simulating Freight Flows and Logistics Choices
Real-Time Systems
Evaluation of Traffic Predictions
Transportation Networks and Smart Mobility: Methods and Solutions at MIT University Faculty details
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Transportation Networks and Smart Mobility: Methods and Solutions at MIT University Contact Information
77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)