Schonfeld, P., Rakha, H., Wu, F., & Du, J. (2023). Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/68868
Schonfeld, Paul, Hesham Rakha, Fei Wu, and Jianhe Du. Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center, 2023. https://rosap.ntl.bts.gov/view/dot/68868.
Schonfeld, Paul, et al. Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/68868.
This project developed methods for optimizing the long-term development of road networks by developing algorithms for selecting, sequencing and scheduling interrelated improvements, which change flows through the networks. It also compared how network performance can be evaluated as a network’s configuration evolves, using either a fast traffic assignment algorithm or the slower but more realistically precise microscopic simulation model INTEGRATION. The results indicate when and to what extent the traffic assignment algorithm can approximate the simulation results. They demonstrate the potential value of hybrid methods in combining initial search with traffic assignment and refined search with microscopic simulation.
Schonfeld, P., Rakha, H., Wu, F., & Du, J. (2023). Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/68868
Schonfeld, Paul, Hesham Rakha, Fei Wu, and Jianhe Du. Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center, 2023. https://rosap.ntl.bts.gov/view/dot/68868.
Schonfeld, Paul, et al. Analysis of Interrelated Network Improvement Alternatives. Urban Mobility & Equity Center, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/68868.
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