Abstract
This paper presents an integrated and robust approach for estimating the investment necessary to maintain or improve the future levels of service and pavement conditions of facilities in a highway network. The approach is based on robust optimization and assumes that future travel demands and facility conditions are uncertain but confined to an ellipsoidal uncertainty region and traffic flows on the underlying network are in user equilibrium. The problem is formulated as a mathematical program with equilibrium constraints and solved via a cutting plane algorithm. Numerical results from the Sioux Falls network suggest that the approach can potentially address realistic networks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 199-211 |
| Number of pages | 13 |
| Journal | Transportation Research Part C: Emerging Technologies |
| Volume | 16 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2008 |
| Externally published | Yes |
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Keywords
- Investment requirement
- Level of service
- Maintenance and improvement
- Pavement conditions
- Transportation infrastructure
- Uncertainty
ASJC Scopus subject areas
- Computer Science Applications
- Management Science and Operations Research
- Automotive Engineering
- Transportation
Cite this
Estimating investment requirement for maintaining and improving highway systems. / Yin, Yafeng; Lawphongpanich, Siriphong; Lou, Yingyan.
In: Transportation Research Part C: Emerging Technologies, Vol. 16, No. 2, 04.2008, p. 199-211.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Estimating investment requirement for maintaining and improving highway systems
AU - Yin, Yafeng
AU - Lawphongpanich, Siriphong
AU - Lou, Yingyan
PY - 2008/4
Y1 - 2008/4
N2 - This paper presents an integrated and robust approach for estimating the investment necessary to maintain or improve the future levels of service and pavement conditions of facilities in a highway network. The approach is based on robust optimization and assumes that future travel demands and facility conditions are uncertain but confined to an ellipsoidal uncertainty region and traffic flows on the underlying network are in user equilibrium. The problem is formulated as a mathematical program with equilibrium constraints and solved via a cutting plane algorithm. Numerical results from the Sioux Falls network suggest that the approach can potentially address realistic networks.
AB - This paper presents an integrated and robust approach for estimating the investment necessary to maintain or improve the future levels of service and pavement conditions of facilities in a highway network. The approach is based on robust optimization and assumes that future travel demands and facility conditions are uncertain but confined to an ellipsoidal uncertainty region and traffic flows on the underlying network are in user equilibrium. The problem is formulated as a mathematical program with equilibrium constraints and solved via a cutting plane algorithm. Numerical results from the Sioux Falls network suggest that the approach can potentially address realistic networks.
KW - Investment requirement
KW - Level of service
KW - Maintenance and improvement
KW - Pavement conditions
KW - Transportation infrastructure
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=38849140162&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38849140162&partnerID=8YFLogxK
U2 - 10.1016/j.trc.2007.07.004
DO - 10.1016/j.trc.2007.07.004
M3 - Article
AN - SCOPUS:38849140162
VL - 16
SP - 199
EP - 211
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
SN - 0968-090X
IS - 2
ER -