Measuring the Effectiveness of Advanced Traveler Information Systems (ATIS)

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dc.contributor.advisor Nagui M. Rouphail, Committee Chair en_US
dc.contributor.advisor Billy M. Williams, Committee Co-Chair en_US
dc.contributor.advisor John R. Stone, Committee Member en_US
dc.contributor.advisor Jason A. Osborne, Committee Member en_US
dc.contributor.advisor Xuesong Zhou, Committee Member en_US Hu, Hyejung en_US 2010-04-02T18:36:23Z 2010-04-02T18:36:23Z 2008-12-19 en_US
dc.identifier.other etd-12162008-001643 en_US
dc.description.abstract The objective of this study was to develop valid methodologies for addressing several limitations of the current Advanced Traveler Information Systems (ATIS) evaluation tools. This study was focused mainly on three enhancements. First, the queue propagation algorithm of the selected tool (DYNASMART-P) was modified to more realistically model traffic congestion. The author proposed the addition of transfer flow capacity and backward gated flow constraints for more accurately calculating transfer flow rate. Second, the study modeled the natural diversion behaviors of drivers who do not receive traveler information. Lastly, statistical models of user responses to traveler information were developed using binary and multinomial logit methods to understand and model the relationship between drivers’ socio-economic characteristics and their responses to traveler information. Among these three enhancements, the first two (improved queue propagation and natural diversion behavior algorithms) were implemented in the enhanced model. The user behavior models, however, were not implemented because their predictive power was not acceptable due to limitations in the data set. The enhanced model was applied to two case studies: 1) verifying the capabilities of the model under a recurring bottleneck scenario on I-40 corridor in the Triangle region of North Carolina, and 2) demonstrating the capability of the enhanced model to measure the effectiveness of U-Transportation (similar to the Vehicle Infrastructure Integration [VII] program in the USA) which has been under development in Korea. The first case study results showed that the improved queue propagation algorithm simulated the bottleneck queue much closer to the real data than the original model. The simulation results also indicated that the actual diversion rate under recurring congestion in the study network was very low. The results of the second case study demonstrated that the enhanced model can evaluate the network impact of new advanced technology in flooding situations and can evaluate the effect of market penetration of the communication technology. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject logit model en_US
dc.subject NC triangle region en_US
dc.subject VII en_US
dc.subject ATIS en_US
dc.subject ubiquitous transportation en_US
dc.subject user behavior model en_US
dc.subject natural diversion en_US
dc.subject queue propagation algorithm en_US
dc.title Measuring the Effectiveness of Advanced Traveler Information Systems (ATIS) en_US PhD en_US dissertation en_US Civil Engineering en_US

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