Development of Macroscopic Cell-Based Logistic Lane Change Prediction Model

Abstract

This paper aims at developing a macroscopic cell-based lane change prediction model in a complex urban environment and integrating it into cell transmission model (CTM) to improve the accuracy of macroscopic traffic state estimation. To achieve these objectives, first, based on the observed traffic data, the binary logistic lane change model is developed to formulate the lane change occurrence. Second, the binary logistic lane change is integrated into CTM by refining CTM formulations on how the vehicles in the cell are moving from one cell to another in a longitudinal manner and how cell occupancy is updated after lane change occurrences. The performance of the proposed model is evaluated by comparing the simulated cell occupancy of the proposed model with cell occupancy of US-101 next generation simulation (NGSIM) data. The results indicated no significant difference between the mean of the cell occupancies of the proposed model and the mean of cell occupancies of actual data with a root-mean-square-error (RMSE) of 0.04. Similar results are found when the proposed model was further tested with I80 highway data. It is suggested that the mean of cell occupancies of I80 highway data was not different from the mean of cell occupancies of the proposed model with 0.074 RMSE (0.3 on average).

Vehicle Lane Change Models—A Historical Review

“…Therefore, four types of vehicles-vehicles requiring lane change (SV), vehicles ahead of lane change (CLV), vehicles in front of target lane (TLV), and vehicles behind target lane (TFV)-are selected, as shown in Figure 1 relationship between crash factors and crash outcomes by developing an average model with random logit and heterogeneity. In a complex urban environment, Ng et al [26] established a logical lane change prediction model based on macro cells [27], and combined it with the cell transport model (CTM) to improve the accuracy of macro traffic state estimation. Based on the difference in speed and density between lanes, a binary logistic lane change model is proposed to describe the lane change.…”

Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model

“…Christina et al, integrated a macroscopic lane change prediction model based on cells into the CTM. Experimental results show a negligible difference between the unit occupancy rate of I80 highway data and that of the proposed model [25]. Analyzing freeway traffic flow using the CTM is one of its application directions.…”