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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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.
Toyota Prius Lineup
Figure 1. Congestion on I-66 Eastbound
Toyota Camry Lineup
Figure 2: The Northern Virginia Network, built using VISSIM 5.1 and Google Maps
As Low as 121 g CO2 /Mile!
By forecasting vehicle compositions below, our system projects that the RRS will increase the passenger miles traveled while also lowering CO2 Emissions.
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.
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