Optimal Ramp Metering Control for Weaving Segments Considering Dynamic Weaving Capacity Estimation

Integrated variable speed limit and ramp metering control study on flow interaction between mainline and ramps

“…TTT is determined by traffic density, while TTD is determined by the product of traffic density and speed, that is, traffic flow. Thus, as proved in much previous research, 11,18,19,21 minimizing TTT reduces mainline density and mitigates congestion; whereas, maximizing TTD accommodates more vehicles in the mainline. As RM and VSL may improve freeway mobility at the cost of preventing vehicles entering the traffic network and detouring a portion of traffic to local roads, TTD is included in the objective function.…”

“…A METANET-based dynamic traffic model, DynaTAM-RM&VSL (Dynamic Analysis Tool for Active Traffic and Demand Management-Ramp Metering and Variable Speed Limit), was used to perform traffic-state prediction and coordinate mainline and on-ramp flows. DynaTAM is an applicationoriented software tool; its branches, DynaTAM-RM and DynaTAM-VSL, were developed and presented by Wang et al 18 and Hadiuzzaman et al, 19 respectively. In addition to the original METANET model proposed by Messmer and Papageorgiou, 15 DynaTAM-RM&VSL applies several physical constraints to estimate segment boundary flows.…”

“…To replicate real-world traffic conditions, the prediction and micro-simulation models were calibrated and validated with field data. Similar to a previous study by Wang et al, 18 five steps were performed to construct the prediction and micro-simulation models: (1) identified geometric features from the field; (2) collected and processed field traffic data; (3) analyzed traffic data and identified bottlenecks; (4) coded for the prediction/ micro-simulation network model; and (5) calibrated the prediction/micro-simulation model from the observations from step 3. During model validation, measurements from the prediction/micro-simulation model and the field were compared to validate the constructed prediction/micro-simulation model.…”

Research on Joint Control of On-Ramp Metering and Mainline Speed Guidance in the Urban Expressway Based on MPC and Connected Vehicles

“…However, MPC approach was widely used to ramp metering and speed guidance [9][10][11][12][13]. Moreover, dynamic speed limit control was jointly applied with other models, such as a traffic state prediction model [14][15][16]. From the literature review, it was found that the operational efficiency or capacity was used as the main optimization objective while traffic safety was rarely considered.…”

Effect of lane allocation on operational efficiency at weaving areas based on a cellular automaton model

“…The factors that influence the traffic efficiency in the weaving area of an urban expressway include the traffic flow pattern [1, 2], speed [3–5], weaving area length [2, 4, 5], acceleration lane length [5, 6], exclusive bus lane [7, 8], guide sign [9], and lane‐changing behaviour [5, 10–14]. In order to reduce the congestion at the weaving area, various management and control strategies were proposed [15, 16], including ramp metering (RM) [17–19], variable speed limit (VSL) [20], integrated RM and VSL (RM‐VSL) [21, 22], high‐occupancy/toll lanes [23, 24], route guidance [25], and lane allocation [26].…”