Abstract
Despite recent advances in technologies for intelligent transportation systems, the safety of intersection traffic is still threatened by traffic signal violation, called the Red Light Runner (RLR). The conventional approach to ensure the intersection safety under the threat of an RLR is to extend the length of the all-red signal when an RLR is detected. Therefore, the selection of all-red signal length is an important factor for intersection safety as well as traffic efficiency. In this paper, for better safety and efficiency of intersection traffic, we propose a framework for dynamic all-red signal control that adjusts the length of all-red signal time according to the driving characteristics of the detected RLR. In this work, we define RLRs into four different classes based on the clustering results using the Dynamic Time Wrapping (DTW) and the Hierarchical Clustering Analysis (HCA). The proposed system uses a Multi-Channel Deep Convolutional Neural Network (MC-DCNN) for online detection of RLR and also classification of RLR class. For dynamic all-red signal control, the proposed system uses a multi-level regression model to estimate the necessary all-red signal extension time more accurately and hence improves the overall intersection traffic safety as well as efficiency.
Highlights
IntroductionOne of the most complex, dangerous, and important traffic environments on the road is the intersection, where traffic flows from different directions overlap in a common space, and it has substantial impacts on the overall urban traffic efficiency and safety [2]
As the traffic volume in urban areas has increased significantly over the last decades, there has been many demands and efforts to develop and deploy technologies for intelligent transportation systems in order to address issues of traffic congestion, safety, efficiency, and environmental improvements [1]
For these speed profile time-series data, the similarity measure from the Dynamic Time Wrapping (DTW) algorithm is less than 25, which is substantially lower than the other three cases in the figure and clearly indicates that these two time-series are quite similar to each other in terms of their shapes while they may be in slightly different phases
Summary
One of the most complex, dangerous, and important traffic environments on the road is the intersection, where traffic flows from different directions overlap in a common space, and it has substantial impacts on the overall urban traffic efficiency and safety [2]. Traffic flows from different directions are typically coordinated through traffic light systems to prevent conflicting traffic flows passing the intersection simultaneously. The most representative example of such a traffic participant that violates the traffic signal is the Red Light Runner (RLR) [3]. An RLR is a vehicle passing through an intersection, ignoring the traffic signal when the traffic light is red.
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