Affiliation:
1. College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Abstract
Aiming at the traffic congestion problem of mining vehicles in the intersection area of three-fork roadways in coal mines, this paper proposes a speed guidance strategy based on a vehicle–road cooperative environment to adjust the running state of mining vehicles in the three-fork roadway system. The proposed speed guidance strategy can realize the safe and effective passage of underground mining vehicles to the greatest extent. Taking a three-fork roadway in a coal mine as an actual case, the operation of mining vehicles in the three-fork roadway is optimized and scheduled. Through the joint simulation of PTV VISSIM 4.3 traffic simulation software and PYTHON 3.7, the travel time, number of queuing vehicles, and delay time of mining vehicles passing through the three-fork roadway entrance under the two conditions of no speed and speed guidance in the coal mine are simulated and compared. The results show that after using the proposed speed guidance strategy for scheduling, mining vehicles can quickly pass through the three-fork roadway intersection. The travel time is reduced by 18.4%, the number of queuing vehicles is reduced by 41.5%, and the delay time is reduced by 24.1%, which effectively improves the transportation efficiency of underground mining vehicles.
Funder
the 2022 Youth Innovation Team Construction Scientific Research Program of Shaanxi Provincial Education Department
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference35 articles.
1. A Review of Research on the Calculation Method of Traffic Capacity of Signal-Controlled Intersections;Yang;J. China Highw.,2014
2. Effectiveness of driver’s bounded rationality and speed guidance on fuel-saving and emissions-reducing at a signalized intersection;Wang;J. Clean. Prod.,2021
3. Idling fuel consumption and emissions of air pollutants at selected signalized intersections in Delhi;Sharma;J. Clean. Prod.,2019
4. The impact of road intersection topology on traffic congestion in urban cities;Marwan;Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys),2019
5. Fractal characteristics of urban surface transit and road networks: Case study of Strasbourg, France;Wang;Adv. Mech. Eng.,2017