Abstract
Road traffic congestion has become a normal state and caused many problems in large cities of China, and lane-changing model has attracted increased attention in recent years. This study is aimed t...
Highlights
Drivers have lived under complicated road traffic conditions, and the continuous pressure from traffic congestion may cause drivers negative and irritable
In order to build a relational model of the pressure coefficient,[18] the average value of heart rate and the proportion of lane-changing directly have been selected as the key indexes, and the original data that obtained from the testing need to be standardized
The sample sets of the measured data from experiment are imported into the BP neural network for training, the weight and threshold of the pressure–state– response’’ (PSR) model about the lane-changing directly in the congested state are shown in equations (1) and (2), respectively.[20]
Summary
Drivers have lived under complicated road traffic conditions, and the continuous pressure from traffic congestion may cause drivers negative and irritable. 4. after that each of the tested drivers finishing the testing process in the selected paths, the data and video files of the driver’s heart rate, lane-changing behavior, and vehicle running state are exported and stored. In order to build a relational model of the pressure coefficient,[18] the average value of heart rate and the proportion of lane-changing directly have been selected as the key indexes, and the original data that obtained from the testing need to be standardized. The sample sets of the measured data from experiment are imported into the BP neural network for training, the weight and threshold of the PSR model about the lane-changing directly in the congested state are shown in equations (1) and (2), respectively.[20]. According to the error performance curve, it is clear that the value of expected error is 0.0001, which has been obtained when the training comes to end, so the precision of the model meets the requirement
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