Method for predicting a future development of behavior of road users in a traffic situation

• 1. 生成易受伤害道路使用者轨迹预测模型的方法及预测方法 [P] . 中国专利： CN110599521B . 2022.02.15
• 2. 生成易受伤害道路使用者轨迹预测模型的方法及预测方法 [P] . 中国专利： CN110599521A . 2019-12-20
• 3. Method for predicting a future development of the behavior of road users in a traffic situation [P] . 德国专利： DE102020003745A1 . 2020-09-03

  机译： 预测交通情况下道路使用者行为未来发展的方法

• 4. Procedure for predicting a future traffic situation in a vehicle environment by determining a number of consistent overall scenarios for different road users; vehicle [P] . DE102019215141A1 . 2021-04-01

  机译： 通过确定不同道路使用者的一致总方案，预测车辆环境中未来交通情况的过程;车辆

• 5. METHOD FOR PREDICTING A FUTURE DRIVING SITUATION OF A FOREIGN OBJECT PARTICIPATING IN ROAD TRAFFIC, DEVICE, VEHICLE [P] . WO2021043650A1 . 2021-03-11

  机译： 预测参与道路交通，设备，车辆的异物的未来驾驶情况的方法

• 1. Urban road segment level of service based on bicycle users' perception under mixed traffic conditions [J] . Sambit Kumar Beura, Haritha Chellapilla, Prasanta Kumar Bhuyan 现代交通学报（英文版） . 2017,第002期
• 2. Urban road segment level of service based on bicycle users'''' perception under mixed traffic conditions [J] . Sambit Kumar Beura Haritha Chellapilla Prasanta Kumar Bhuyan 现代交通学报：英文版 . 2017,第002期
• 3. Investigation of Present Situation of Urban Road Traffic in Nanchang City and Countermeasures [J] . ZENG Yan, MIN Zhongrong, XU Wei, 景观研究：英文版 . 2017,第001期
• 4. Traffic risk perception, road safety attitudes, and behaviors among road users: a comparison of Turkey and Norway [J] . OEzlem Simsekoglu, Trond Nordfjaern, Torbjørn Rundmo Journal of risk research . 2012,第7a8期
• 5. The effects of traffic wardens on the red-light infringement behavior of vulnerable road users [J] . Yang Xiaobao, Abdel-Aty Mohamed, Huan Mei, Transportation research . 2016,第FEBa期
• 6. Towards the Development of Traffic Safety Strategies in Developing Countries: Analysis of Road Users’ Perspective [J] . An Minh Ngoc, Truong Thi My Thanh Transportation Research Procedia . 2020,第1期
• 7. Taxonomy of Traffic Situations for the Interaction between Automated Vehicles and Human Road Users [C] . Tanja Fuest, Lenja Sorokin, Hanna Bellem, International Conference on Applied Human Factors and Ergonomics . 2017
• 8. Combining neuroimaging and behavioral methods to predict developmental trajectory in dyslexic children. [D] . Gantman, Alexander. 2008
• 9. Attitudes associated with behavioral predictors of serious road traffic crashes: results from the GAZEL cohort [O] . Hermann Nabi, Louis Rachid Salmi, Sylviane Lafont, 2007
• 10. Non-motorized Vehicle Traffic Accidents in China: Analysing Road Users’ Precrash Behaviors and Implications for Road Safety [O] . Xiaoxia Xiong, Shuichao Zhang, Lin Guo 2021

• 1. Generating Web Traffic Based on User Behavioral Model [J] . Guofeng Zhao ,Minchang Yu ,Chuan Xu . 通讯和计算机 . 2014,第001期
• 2. Road Traffic Crash Data: An Overview on Sources, Problems, and Collection Methods [J] . Azad Abdulhafedh . 交通科技期刊（英文） . 2017,第2期
• 3. 强道路交通噪声干扰情况下城市轻轨交通噪声测试方法探讨 [C] . 刘倩 ,王毅 ,王寄凡 . 2007年全国环境声学学术讨论会 . 2007
• 4. 基于城市道路交通流混沌特性的短时交通流量预测方法研究 [A] . 段世钰 . 2020