吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 63-69.doi: 10.13229/j.cnki.jdxbgxb201601010

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Estimation of bicycle path capacity under mixed bicycle traffic flow

XU Cheng1, 2, QU Zhao-wei1, TAO Peng-fei1   

  1. 1.College of Transportation, Jilin University, Changchun 130022, China;
    2.Department of Traffic Management Engineering, Zhejiang Police College, Hangzhou 310053, China
  • Received:2014-10-12 Online:2016-01-30 Published:2016-01-30

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Abstract: The capacity is a key parameter in bicycle path planning, design and management. With the rapid development of electric bicycles (E-bikes) in China, the E-bikes and the bicycles share the conventional bicycle path, which leads to certain safety and efficiency issues. Five classic speed-density relationship models were introduced to build the speed-density relationship of mixed bicycle traffic flow. The bicycle path capacity was estimated using the flow-density relationship. Field data were collected from three bicycle paths in Hangzhou, China for calibration and validation. With 61% of E-bikes, the mean capacity of per meter width of the three paths is 2000 bicycles/h. Finally, the effects of riders' gender, age and E-bike proportion were analyzed. Results show that riders' gender and age have no significant influence on the path capacity, while there is significant linear correlation between E-bike proportion and bicycle path capacity.

Key words: transportation system engineering, electric bicycle, conventional bicycle, traffic capacity, speed-density relationship model

CLC Number: 

  • U491
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