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VRC 2014. PRESENTATION TITLE. Your Name Your Department Your University. Statement of Hypothesis: The RRS will distribute traffic demand more evenly and efficiently across the morning peak-hour period than general purpose and high-occupancy vehicle-2 lanes. Context:

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PRESENTATION TITLE

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  1. VRC 2014 PRESENTATION TITLE Your Name Your Department Your University Statement of Hypothesis: The RRS will distribute traffic demand more evenly and efficiently across the morning peak-hour period than general purpose and high-occupancy vehicle-2 lanes. • Context: • Interstate 66 (I-66) Volumes Peak Above Capacity During Morning and Afternoon Rush Hours • Interstate 66 Congestion Will Continue to Grow with Projected Increases in Housing and Job Growth • This Region of Northern Virginia Needs to Better Distribute Escalating Traffic Demand On Existing Infrastructure Over Time REV LEV Results: Toyota Prius Lineup Figure 1. Congestion on I-66 Eastbound Toyota Camry Lineup +215% • Premise: • Drivers can request a space on The I-66 RRS on a • first-come, first-serve basis. • The RRS grants reservations with preference given to vehicles with lower emissions and higher vehicle occupancy without exceeding lane capacity. -75% Figure 2: The Northern Virginia Network, built using VISSIM 5.1 and Google Maps As Low as 121 g CO2 /Mile! • Conclusion and Future Considerations: • Compared with GP lanes and HOV-2, RRSs have the capability to decrease carbon emissions and increase passenger miles • RRSs could be potential funding mechanisms • Possible obstaclesinclude coordinating and operating reservation logistics, concerns of privacy infringement, public enforcement By forecasting vehicle compositions below, our system projects that the RRS will increase the passenger miles traveled while also lowering CO2 Emissions. Acknowledgments: This project would not have been possible without help from Graduate student Peng Su. We’d also like to extend a special thank to ProfessorByungkyuPark for his guidance. References: Edara, P., Triantis, K., & Zhao, Y. (2010). Evaluation of Travel Demand Strategies: A Microscopic Approach. Retrieved from SpringerLink: https://springerlink3.metapress.com/content/3386555767500472/resource-secured/?target=fulltext.pdf&sid=qkw43uk53f3mh5mvdttrstum&sh=www.springerlink.com Lee, J., Park, B., Su, P., Sun, & Yixin. (2012). Proof-of-Concept Study for Roadway Reservation System: An Integrated Traffic Management Approach. Charlottesville: Department of Civil & Environmental Engineering. Gerla, M., Iftode, L., Ravi, N., & Smaldone, S. (2007). Lane Reservation for Highways. Retrieved from Rutgers Computer Science: http://www.cs.rutgers.edu/~iftode/ILR-ITSC07.pdf

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