Impact of stop-and-go waves and lane changes on discharge rate in recovery flow |
| |
| Institution: | 1. Chongqing Key Lab of Traffic System & Safety in Mountain Cities, Chongqing Jiaotong University, Chongqing 400074, China;2. Key Laboratory of Automotive Transportation Safety Technology, Ministry of Transport, Chang''an University, Xi''an 710064, China;1. School of Civil Engineering, School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. School of Civil Engineering & Built Environment, Science and Engineering Faculty, Queensland University of Technology, 2 George St GPO Box 2434, Brisbane, Qld 4001, Australia;1. The George Washington University, 800 22nd Street NW, Washington DC 20052, USA;2. University of New South Wales, Civil Engineering Building (Kensington Campus), Sydney, NSW 2052, Australia;3. Texas A&M University, 301E Dwight Look Engineering Building, College Station, TX 77843, USA;4. Technical University of Dresden, Würzburger Str. 35, 01062 Dresden, Germany |
| |
| Abstract: | In an effort to uncover traffic conditions that trigger discharge rate reductions near active bottlenecks, this paper analyzed individual vehicle trajectories at a microscopic level and documented the findings. Based on an investigation of traffic flow involving diverse traffic situations, a driver’s tendency to take a significant headway after passing stop-and-go waves was identified as one of the influencing factors for discharge rate reduction. Conversely, the pattern of lane changers caused a transient increase in the discharge rate until the situation was relaxed after completing the lane-changing event. Although we observed a high flow from the incoming lane changers, the events ultimately caused adverse impacts on the traffic such that the disturbances generated stop-and-go waves. Based on this observation, we regard upstream lane changes and stop-and-go waves as the responsible factors for the decreased capacity at downstream of active bottlenecks. This empirical investigation also supports the resignation effect, the regressive effect, and the asymmetric behavioral models in differentiating acceleration and deceleration behaviors. |
| |
| Keywords: | Capacity drop Lane change Stop-and-go wave Discharge rate Asymmetric traffic flow theory |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
