一种虚拟交通环境中的微观交通仿真模型

刘东辉; 苏虎

doi:10.3969/j.issn.0258-2724.2013.01.026

一种虚拟交通环境中的微观交通仿真模型

doi: 10.3969/j.issn.0258-2724.2013.01.026

刘东辉¹,
苏虎^2, ,

详细信息

通讯作者:
苏虎(1973-),男,副教授,工学博士,主要研究方向为交通仿真、虚拟现实,E-mail:suhu@swjtu.edu.cn

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- PDF下载量: 309
- 被引次数: 0
出版历程
- 收稿日期: 2012-04-06
- 刊出日期: 2013-02-25

Microscopic Traffic Model in Virtual Environment

LIU Donghui¹,
SU Hu^{2
, ,}

摘要

摘要: 为提高虚拟交通环境中车辆行为仿真的逼真度及解决用户与系统的实时交互问题,提出了一种微观交通模型.该模型由道路模型和车辆行为模型构成:道路模型包括了车道的交通属性、几何形状、路网拓扑关系等数据;车辆行为模型考虑驾驶员的交通性格、车辆性能等因素,包括自由行驶、跟驰及换道模型.车辆行为模型可检测与用户所驾驶的汽车仿真器的位置关系,并作出减速、换道、停车等响应.建立了包含153个车道的虚拟交通环境,对模型进行测试,结果表明:所建立的微观交通仿真模型能够反映仿真车辆的个体行为差异;路网中仿真车辆为600辆时,仿真周期约2~4 ms,能实现实时仿真及与用户的实时交互.
- 虚拟环境 /
- 微观交通仿真 /
- 跟驰 /
- 实时交互
Abstract: In order to improve the simulation fidelity of vehicle behaviors in a virtual traffic environment and realize real-time interaction between users and the system, a microscopic traffic model was proposed. This model is composed of a road model and a vehicle behavior model. The road model has a hierarchy structure and includes traffic properties, geometrical parameters and network topology relationship of lanes. The vehicle behavior model takes into account traffic characters of drivers, vehicle performances and other factors, including free driving, car-following and lane-changing models. Simulation vehicles detect position relations with the car simulator driven by a user and then select to brake, change lanes or stop. A virtual traffic environment including 153 lanes was established to test the proposed model. The experiment result indicates that the microscopic traffic model can show individual differences of vehicles' behaviors. When 600 simulation vehicles are included in the road network, the time-consuming of one simulation loop is 2 to 4 ms to meet the requirements of user real-time interaction.
- virtual environment /
- microscopic traffic simulation /
- car following /
- real-time interaction

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参考文献(16)

BRACKSTONE M, MONTANINO M, DAAMEN W, et al. Use, calibration, and validation of traffic simulation models in practice: results of Web-based survey[C]//Transportation Research Board Annual Meeting 2012. Washington D.C.: Transportation Research Board Business Office, 2012: 12-26.

ESSER J, SCHRECKENBERG M. Microscopic simulation of urban traffic based on cellular automata[J]. International Journal of Modern Physics C, 1997, 8(5): 1025-1036.

LÁRRAGA M E, del RÍO J A, ALVAREZ-LCAZA L. Cellular automata for one-lane traffic flow modeling[J]. Transportation Research Part C: Emerging Technologies, 2005, 13(1): 63-74.

王永明,周磊山,吕永波. 基于元胞自动机交通流模型的车辆换道规则[J]. 中国公路学报,2008,21(1): 89-93. WANG Yongming, ZHOU Leishan, LV Yongbo. Lane changing rules based on cellular automaton traffic flow model[J]. China Journal of Highway and Transport, 2008, 21(1): 89-93.

牟勇飚,钟诚文. 基于安全驾驶的元胞自动机交通流模型[J]. 物理学报,2005,54(12): 5597-5601. MOU Yongbiao, ZHONG Chengwen. Cellular automaton model of traffic flow based on safety driving[J]. Acta Physica Sinica, 2005, 54(12): 5597-5601.

疏祥林,杨柳青. 驾驶员的个性心理特征对汽车行驶安全的影响研究[J]. 现代交通技术,2006,21(3): 68-71. SHU Xianglin, YANG Liuqing. Research on influence of drivers personal psychological characteristic to the traffic safety[J]. Modern Transportation Technology, 2006, 21(3): 68-71.

PAKER M T. The effect of heavy goods vehicles and following behavior on capacity at motorway roadwork sites[J]. Traffic Engineering & Control, 1996, 37(9): 524-531.

何民,荣建,任福田. 判定跟驰状态的研究[J]. 公路交通科技,2001,18(8): 74-78. HE Min, RONG Jian, REN Futian. Study on car-following behavior recognition[J]. Journal of Highway and Transportation Research and Development, 2001, 18(8): 74-78.

HERMAN R, MONTROLL E W, POTTS R Botts, et al. Traffic dynamics: analysis of stability in car following[J]. Operations Research, 1959, 7(1): 86-106.

MICHAELS R M. Perceptual factors in car following[C]//Proceedings of the 2nd International Symposium on the theory of Road Traffic Flow. Paris: OECD, 1963: 44-59.

魏赟,韩印,范炳全,等. 基于多智能体和元胞自动机的微观交通仿真系统建模[J]. 上海理工大学学报,2009,31(3): 342-346. WEI Yun, HAN Yin, FAN Binquan et al, Modeling of agent oriented microscopic traffic simulation system[J]. University of Shanghai for Science and Technology, 2009, 31(3): 342-346.

张元元,王晓原,谭德荣,等. 基于最优控制的车辆跟驰模型[J]. 山东理工大学学报:自然科学版,2011,25(1): 6-10. ZHANG Yuanyuan, WANG Xiaoyuan, TAN Derong, et al. Car-following model based on optimal control[J]. Journal of Shandong University of Technology: Natural Science Edition, 2011, 25(1): 6-10.

陶鹏飞,金盛,王殿海. 基于人工势能场的跟驰模型[J]. 东南大学学报:自然科学版,2011,41(4): 854-858. TAO Pengfei, JIN Sheng, WANG Dianhai. Car-following model based on artificial potential field[J]. Journal of Southeast University: Natural Science Edition, 2011, 41(4): 854-858.

王莉莉,张新瑜,张兆宁. 空中高速路交通流的跟驰现象及流量模型[J]. 西南交通大学学报,2012,47(1): 158-162. WANG Lili, ZHANG Xinyu, ZHANG Zhaoning. Following phenomenon and air freeway flow model[J]. Journal of Southwest Jiaotong University, 2012, 47(1): 158-162.

谭满春,徐建闽,许伦辉,等. 车辆换道控制策略及其灵敏度分析[J]. 系统工程学报,2006,21(2): 206-210. TAN Manchun, XU Jianmin, XU Lunhui, et al. Control strategy of vehicle's lane-changing and its sensitivity analysis[J]. Journal of System Engineering, 2006, 21(2): 206-210.

杨小宝. 考虑实施过程的车辆换道模型及其应用[J]. 物理学报,2009,58(2): 836-842. YANG Xiaobao. A lane-changing model considering the maneuver process and its applications[J]. Acta Physica Sinica, 2009, 58(2): 836-842.

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文章访问数: 1175
HTML全文浏览量: 59
PDF下载量: 309
被引次数: 0

一种虚拟交通环境中的微观交通仿真模型

doi: 10.3969/j.issn.0258-2724.2013.01.026

通讯作者: 苏虎(1973-),男,副教授,工学博士,主要研究方向为交通仿真、虚拟现实,E-mail:suhu@swjtu.edu.cn

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Microscopic Traffic Model in Virtual Environment

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通讯作者:
苏虎(1973-),男,副教授,工学博士,主要研究方向为交通仿真、虚拟现实,E-mail:suhu@swjtu.edu.cn