01659960

Component

Although more bus lanes have been constructed in Shanghai, the operating speed and passenger volume of urban bus system still keep dropping in recent years. It is necessary to evaluate the effect of new bus lanes. This paper proposes a method based on bus GPS data to identify the specific congested sections in bus lanes, which can get valuable insights into the operation of bus lanes. Firstly, the temporal and spatial distributions of GPS points are identified, at which the speed is less than 5km/h . Secondly, congested sections in bus lanes are identified and clustered by Hierarchical clustering method. Finally, several potential problems are put forward, with the consideration of bus lane realistic conditions. Through the case study of Xizang Road bus lane in Shanghai, China, it is found that: 1) 78.2% congested sections are located in the bus lanes with bus stops; 2) Multiple and short congested sections locate between bus stops and upstream intersections, while single and long congested sections locate between bus stops and downstream intersections.

This paper was sponsored by TRB committee AP050 Standing Committee on Bus Transit Systems.

18-04351

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Automatic data collection systems; Bus lanes; Bus stops; Bus transit; Case studies; Cluster analysis; Global Positioning System; Network links; Spatial analysis; Time domain analysis; Traffic congestion

Hierarchical clustering

Shanghai (China)

Operations and Traffic Management; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-04351

TRIS, TRB, ATRI

Jan 8 2018 11:04AM