Urban road network mixed traffic flow day-by-day evolution prediction method based on intelligent network connection environment
Urban road network mixed traffic flow day-by-day evolution prediction method based on intelligent network connection environment
- Neue Suche nach: WANG JIAN
- Neue Suche nach: LIU ZHENING
- Neue Suche nach: WANG WEI
- Neue Suche nach: HUA XUEDONG
- Neue Suche nach: ZHAO DE
- Neue Suche nach: HAN MIN
- Neue Suche nach: WANG LICHAO
- Neue Suche nach: WANG JIAN
- Neue Suche nach: LIU ZHENING
- Neue Suche nach: WANG WEI
- Neue Suche nach: HUA XUEDONG
- Neue Suche nach: ZHAO DE
- Neue Suche nach: HAN MIN
- Neue Suche nach: WANG LICHAO
The invention discloses an urban road network mixed traffic flow day-by-day evolution prediction method based on an intelligent network connection environment, and the method comprises the steps: firstly obtaining road network topology and travel demand data, reflecting the impact on a traffic network to the topology data according to the type and position of an emergency, and carrying out the prediction of the traffic network mixed traffic flow day-by-day evolution. According to road section data and origin-destination data of a road network, feasible path data between all origin-destination is obtained, travel demands of vehicles are allocated to the road network, traffic network flow evolution day-by-day prediction and path perception cost of manual driving vehicles and intelligent network connection vehicles are carried out, and a current-day total perception cost minimum equation is solved for different types of vehicles. And taking the solving result as an evolution direction, moving the flow distribution of the previous day to the evolution direction according to the flow conversion rate to obtain an evolution result of the day, realizing classification prediction of the manual driving vehicle and the intelligent network connection vehicle, and iteratively executing until a prediction time limit is reached to obtain a daily flow result. According to the method, the mixed flow traffic flow evolution process after the emergency can be quickly predicted.
本发明公开了一种基于智能网联环境的城市路网混合交通流逐日演化预测方法，首先获取路网拓扑与出行需求数据，根据突发事件的类型与位置，将其对交通网络的影响反应至拓扑数据当中，根据路网的路段数据与起讫点数据得到所有起讫点间可行路径数据，将车辆的出行需求分配至路网，进行交通网络流量演化逐日预测，人工驾驶车辆与智能网联车辆的路径感知成本，对不同类型车辆分别求解当日总感知成本最小方程，将求解结果作为演化方向，按流量转化率将前一日流量分布向演化方向移动，得到当日演化结果，实现人工驾驶车辆与智能网联车辆分类预测，迭代执行直至达到预测期限，得到每日的流量结果。本发明能够快速预测突发事件后混合流交通流量演化过程。
Dokumentinformationen
Urban road network mixed traffic flow day-by-day evolution prediction method based on intelligent network connection environment
一种基于智能网联环境的城市路网混合交通流逐日演化预测方法
2024-01-05
Patent
Elektronische Ressource
Chinesisch
| IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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