Embed Size (px)
Citation preview
AN INTEGRATED OPTIMIZATION FRAMEWORK FOR
URBAN TRAFFIC MANAGEMENT
AND CITY LOGISTICSRodrigo Rezende Amaral
DEPARTMENT OF INDUSTRIAL SYSTEMS ENGINEERING AND PR ODUCT DESIGN
5
6
MOTIVATION
7
Transportation Economics
MOTIVATION
8
Transportation Economics
9
10
Commuter
Commuter
Logistic operator
14
Companies do NOT aim to reduce costs, but to maximize profits .
FRAMEWORK
15
FRAMEWORK
16
FRAMEWORK
17
FRAMEWORK
18
FRAMEWORK
19
20
EXPERIMENT
Driving directions
21
EXPERIMENT
22
EXPERIMENT
Minimizes “expected” distance between two points
23
EXPERIMENT
Minimizes “expected” distance between two points
Does it minimize “expected” route lengths?
24
EXPERIMENT
Minimizes “expected” distance between two points
Does it minimize “expected” route lengths?
25
EXPERIMENT
Minimizes “expected” distance between two points
Does it minimize “expected” route lengths?
•••
26
EXPERIMENT
Driving directions
27
EXPERIMENT
Driving directions
28
EXPERIMENT
Driving directions
29
EXPERIMENT
Driving directions
BETTER FOR LOGISTICS
BETTER FOR COMMUTERS
CONCLUSIONS
30
CONCLUSIONS
31
• Insights on the response of logistic operators
• Better estimation of the costs
• Forecast of the future traffic demand
• Design of alternative solutions: “how” and “how much”
Rodrigo Rezende Amaral
DEPARTMENT OF INDUSTRIAL SYSTEMS ENGINEERING AND PRODUCT DESIGN
www.ugent.be
Ghent University
@ugent
Ghent University
