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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 26, 2022 - Issue 6
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Articles

Modeling and simulation of dynamic lane reversal using a cell transmission model

ORCID Icon, ORCID Icon &
Pages 717-729 | Received 02 Jan 2021, Accepted 25 Aug 2021, Published online: 13 Sep 2021

Figures & data

Figure 1. Shift of Lane Directions in DLR. (a) Initial lane configuration. (b). Lane configuration in the next time interval.

Figure 1. Shift of Lane Directions in DLR. (a) Initial lane configuration. (b). Lane configuration in the next time interval.

Figure 2. Traffic flow in the CTM.

Figure 2. Traffic flow in the CTM.

Table 1. Correction coefficients.

Figure 3. Proxy model of DLR in VISSIM.

Figure 3. Proxy model of DLR in VISSIM.

Table 2. Default and recommended values of sensitive parameters.

Table 3. Parameters in the NSGA-II algorithm.

Figure 4. Pareto-optimal solutions in various cases.

Figure 4. Pareto-optimal solutions in various cases.

Table 4. Direction inflow rate for different lane conditions.

Figure 5. Comparison of delays obtained in VISSIM and CTM.

Figure 5. Comparison of delays obtained in VISSIM and CTM.

Table 5. Result of regression parameter estimates.

Figure 6. Average vehicle delay reduction (s) vs. directional flow (pcu/h).

Figure 6. Average vehicle delay reduction (s) vs. directional flow (pcu/h).

Figure 7. Average vehicle delay reduction (s) vs. directional flow (pcu/h) in a situation with four lanes.

Figure 7. Average vehicle delay reduction (s) vs. directional flow (pcu/h) in a situation with four lanes.

Figure 8. Driving safety hazard index vs. directional flow (pcu/h).

Figure 8. Driving safety hazard index vs. directional flow (pcu/h).