TY - JOUR
T1 - Location configuration design for Dynamic Message Signs under stochastic incident and ATIS scenarios
AU - Chiu, Yi Chang
AU - Huynh, Nathan
N1 - Funding Information:
This research was partially supported by the Federal Highway Administration. The research results and conclusions discussed in this paper do not reflect those of the sponsoring agencies. The authors are solely responsible for the statements and results expressed in this paper. The authors would like to thank Professor Hani S. Mahmassani at the University of Maryland at College Park for his feedback regarding this work at the conceptualization stage. The authors would also like to thank two anonymous reviewers who provided insightful and constructive comments that helped improve the quality of this paper.
PY - 2007/2
Y1 - 2007/2
N2 - This paper proposes a methodology for deploying permanent Dynamic Message Signs (DMS) in a vehicular traffic network. Of particular interest is the planning problem to optimize the number of DMS to deploy in conjunction with Advanced Traveler Information Systems (ATIS), operating and maintenance cost of DMS, and incident-related user cost under random traffic incident situations. The optimal DMS location design problem discussed herein is formulated as a two-stage stochastic program with recourse (SPR). A Tabu search algorithm combined with dynamic traffic simulation and assignment approaches are employed to solve this problem. A case study performed on the Fort-Worth, Texas network highlights the effectiveness of the proposed framework and illustrates the affect factors such as demand, network structure, DMS response rate, and incident characteristics have on the solution. The numerical results suggest that designing and deploying DMS and ATIS jointly is more cost-effective and efficient than the sequential build-out of the two from the system management perspective.
AB - This paper proposes a methodology for deploying permanent Dynamic Message Signs (DMS) in a vehicular traffic network. Of particular interest is the planning problem to optimize the number of DMS to deploy in conjunction with Advanced Traveler Information Systems (ATIS), operating and maintenance cost of DMS, and incident-related user cost under random traffic incident situations. The optimal DMS location design problem discussed herein is formulated as a two-stage stochastic program with recourse (SPR). A Tabu search algorithm combined with dynamic traffic simulation and assignment approaches are employed to solve this problem. A case study performed on the Fort-Worth, Texas network highlights the effectiveness of the proposed framework and illustrates the affect factors such as demand, network structure, DMS response rate, and incident characteristics have on the solution. The numerical results suggest that designing and deploying DMS and ATIS jointly is more cost-effective and efficient than the sequential build-out of the two from the system management perspective.
KW - Advanced traveler information systems
KW - DYNASMART-P
KW - Dynamic Message Signs
KW - Dynamic traffic assignment
KW - Stochastic programming with recourse
KW - Tabu search
UR - http://www.scopus.com/inward/record.url?scp=33947207335&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947207335&partnerID=8YFLogxK
U2 - 10.1016/j.trc.2006.12.001
DO - 10.1016/j.trc.2006.12.001
M3 - Article
AN - SCOPUS:33947207335
SN - 0968-090X
VL - 15
SP - 33
EP - 50
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
IS - 1
ER -