Descriptive statistics of driver characteristics. by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Experimental scenario design. by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Fixed effects of driving behavior stability. by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Factors influencing cognitive response. by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Speed variation at signal intersections (Time). by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Selection of covariance types. by Yang Li (7082)

“…From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Parameters of each algorithm. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Experimental program and test results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Model verification results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Example of orthogonal initialization. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Model verification results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Compares the optimization results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Analysis of variance model. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Analysis model of determinable coefficient. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Comprehensive analysis model. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Before and after optimization design variables. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Experimental flow chart. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Horizontal coding of milling parameters. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Baseline test equations. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Population distribution map of MSSO and SO. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”