|Table of Contents|

BLIP setting based on dynamic forced clearance and cooperative lane change strategy(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年1期
Page:
125-137
Research Field:
交通工程
Publishing date:

Info

Title:
BLIP setting based on dynamic forced clearance and cooperative lane change strategy
Author(s):
PEI Yu-long;  LI Xin
(School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, Helongjiang, China)
Keywords:
traffic engineering;  bus;  bus lane with intermittent priority;  cellular automata;  simulation
PACS:
U491.17
DOI:
10.19721/j.cnki.1671-8879.2025.01.011
Abstract:
To improve the service level of urban public transportation and road utilization, ensure the implementation of the bus priority development strategy, enhance the reasonable usage efficiency of social vehicles on bus lanes, promote the sharing and efficient utilization of transportation resources, and further optimize the urban traffic operation system, a bus lane with intermittent priority(BLIP)mode based on the traditional Nasch model and the improved velocity effect(VE)model was proposed, incorporating a dynamic forced clearing strategy and a cooperative lane-changing strategy. A dynamic forced clearing strategy and a cooperative lane-changing strategy were introduced, considering the effects of lane-changing probability and siren probability as two influencing variables, and a three-lane metric automaton model was established. The model ensured that vehicles in the clearing area could leave the bus lane, thus effectively reducing the conflict between the demand for road resources from social vehicles and buses while prioritizing bus passage. The average speed of vehicles, travel delay time, power consumption of buses, and passenger accessibility were used as evaluation indicators, Xin Yang Road in Harbin was taken as the study object to verify the operational effects of the BLIP model by collected traffic data through actual surveys. The results show that when traffic flow is at a medium density, reaching 32%-69% of maximum traffic capacity, the average speed of buses increases by 12%-25%, delay time decreases by nearly 50%, and the electricity consumption of buses reduce by about 28%, demonstrating significant optimization effects. Under medium traffic flow density conditions, the BLIP model exhibits superior applicability and effectiveness, significantly improving traffic efficiency and enhancing road capacity.4 tabs, 16 figs, 30 refs.

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Last Update: 2025-02-25