Fine-tuning time-of-day partitions for signal timing plan development: revisiting clustering approaches

Peng ChenBeijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, People’s Republic of China;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, People’s Republic of ChinaView further author information

Nan ZhengDepartment of Civil Engineering, Monash University, Melbourne, Australia;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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Weili SunDiDi Smart Transportation, Zhongguancun Software Park, Beijing, People’s Republic of ChinaView further author information

Yunpeng WangBeijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, People’s Republic of China;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, People’s Republic of ChinaView further author information

Fine-tuning time-of-day partitions for signal timing plan development: revisiting clustering approaches

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Fine-tuning time-of-day partitions for signal timing plan development: revisiting clustering approaches

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