Basic/Programming Seminar on Transportation Theory (Y2017)
As a start-up, Fukuda Laboratory conducts a basic seminar on the three major basic theories required for traffic analysis in the first 2-3 months of the academic year. In 2017, the seminar aimed at to learn the basic theories and application methods (programming skills) for the two topics of “travel behavior analysis” and “traffic network analysis”. The seminar was held in the graduate course of Prof. Marco Nie on “Traffic Flow Theory”.]
Textbooks used:
- “Analysis and Modeling of Traffic Behavior: Theory/Model/Survey/Application” (Ryuichi Kitamura and Takayuki Morikawa [editors])
- “Equilibrium Analysis of Transportation Networks” (JSCE [editor])
Programming languages used:
- Python (some functions in Pythonbiogeme)
- R
【Introduction】
- 1: 01.pdf01code.zip
- 2: Data Aggregation and Visualization 02Py.pdf02R.pdf02code.zip
- 3: Statistical data analysis in R/Python 03Py.pdf03R.pdf03code.zip
【Travel Behavior Analsis Seminar】
- 4-5: Travel behavior theory & Travel behavior scheme 04_01.pdf
- 4-5: Travel Behavior Analysis & Econometric Approach to Behavior Analysis 04_02.pdf
- (P) Estimation of multinomial logit model (R, Python) 05Py.pdf05R.pdf05code.zip
- 6-7: Modeling: Discrete and continuous choice models, simultaneous equation models 06_01.pdf
- 6-7: Structural equation models, Dynamic models & Survival time models 06_02.pdf
- (P) Full information maximum likelihood method 07Py.pdf
- (P) Estimation of survival time model 07R.pdf07code.zip
- 8-9: Phenomenon analysis: Trip frequency, destination, transportation, route choice Activity-Based Approach 08_01.pdf
- 8-9: Phenomenon analysis: Car ownership Analysis of non-routine (holiday) traffic 08_02.pdf
- (P) Tourism Wi-Fi data analysis 09R_1.pdf09R_2.pdf09code.zip
【Traffic Network Analysis】
- 10-11: Chp.1-4 (Equilibrium problems and link cost functions) 10_01.pdf
- 10-11: Chp.1-4 (Choice Behavior & Behavior Analysis) 10_02.pdf
- (P) Shortest path algorithm 11Py.pdf11R.pdf11code.zip
- 12-13: User equilibrium model 12_01.pdf
- 12-13: Solving the user equilibrium model 12_02.pdf
- (P)User Equilibrium Algorithm (Frank Wolfe Algorithm) 13Py.pdf13R.pdf13code.zip
- 14-15: Stochastic user equilibrium model 14_01.pdf
- 14-15: Solving stochastic user equilibrium models 14_02.pdf
- (P) MSA & Dial Algorithm 15Py_1.pdf15Py_2.pdf15code.zip