期刊文献+

浓雾环境下车车通信对交通事故的影响分析 被引量:6

Influence of Vehicle-to-vehicle Communication on Traffic Accidents in Heavy Fog Weather
下载PDF
导出
摘要 雾天环境下驾驶员会表现出和正常天气不同的驾驶行为,给行车安全带来威胁.为保证交通安全,交通管理部门在浓雾环境下关闭高速公路,给人们出行带来不便.分析浓雾环境下基于传统目视和基于车车通信的驾驶行为,建立了交通流元胞自动机模型.模拟结果表明:车车通信能够有效减少车辆分布的'局部聚集效应',从而大大降低交通事故率;当车辆密度较小时,交通事故率的降低效应尤其明显.本文的研究为高速公路在浓雾环境下采用车车通信技术实现车辆连续放行提供参考. With fog environment,drivers present different driving behaviors compared with normal weather,which may bring security threats to drivers. To ensure traffic security,traffic management department will close highway when heavy fog occurs,which makes people inconvenient. The traditional visual based and vehicle-to-vehicle communication based driving-behavior modes are analyzed firstly. Based on the driving-behavior modes,the traffic flow cellular automaton models are proposed. Simulation results show that vehicle- to- vehicle communication technology can decrease the local compact effect,which can decrease the traffic accident probability effectively. The traffic accident probability with vehicle- to- vehicle communication decreases much in low density. The research results can provide reference to the continue release of highway when heavy fog occurs if the vehicle-to-vehicle communication technology is used.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2016年第4期109-116,共8页 Journal of Transportation Systems Engineering and Information Technology
基金 国家科技支撑计划(2014BAG01B02 2014BAG01B03) 国家自然科学基金(61401397) 湖北省自然科学基金(2013CFA054 2014CFB287) 浙江省自然科学基金(LY14F020020) 湖北省教育厅科学技术研究计划重点项目(D20141804) 汽车动力传动与电子控制湖北省重点实验室开放基金(ZDK1201406)~~
关键词 公路运输 交通流 元胞自动机模型 交通事故 浓雾 highway transportation traffic flow cellular automaton model traffic accident heavy fog
  • 相关文献

参考文献13

  • 1BROOKS J O, CRISLER M C, KLEIN N, et al. Speed choice and driving performance in simulated foggy conditions[J]. Accident Analysis and Prevention, 2011 (43): 698-705.
  • 2SHI J, TAN J H. Effect analysis of intermittent release measures in heavy fog weather with an improved CA model[J]. Discrete Dynamics in Nature and Society, 2013: 812562.
  • 3SNOWDEN R J, STIMPSON N, RUDDLE R A. Speed perception fogs up as visibility drops[J]. Nature, 1998 (392): 450-450.
  • 4EVANS L, ROTHERY R. The influence of forward vision and target size on apparent inter-vehicular spacing[J]. Transportation Science, 1976(10): 85 - 101.
  • 5CARO S, CAVALLO V, MARENDAZ C, et al. Can headway reduction in fog be explained by impaired perception of relative motion?[J]. Human Factors, 2009 (51): 378-392.
  • 6BROUGHTON K L M, SWITZER F, SCOTY D. Car following decisions under three visibility conditions and two speeds tested with a driving simulator[J]. Accident Analysis and Prevention, 2007(39): 106-116.
  • 7华雪东,王炜,王昊.考虑车与车互联通讯技术的交通流跟驰模型[J].物理学报,2016,65(1):44-55. 被引量:25
  • 8XIANG Z T, LI Y J, CHEN Y F, et al. Simulating synchronized traffic flow and wide moving jam based on the brake light rule[J]. Physica A, 2013(392): 5399- 5413.
  • 9NAGEL K, SCHRECKENBERG M. A cellular automaton model for freeway traffic[J]. Journal de Physique I, 1992(2): 2221-2229.
  • 10BOCCARA N, FUKS H, ZENG Q. Car accidents and number of stopped cars due to road blockage on a one- lane highway[J]. Journal of Physics A, 1997(30): 3329- 3332.

二级参考文献47

  • 1华雪东,王炜,王吴.2011.物理学报,60 084502.
  • 2Chowdhury D, Santen L, Schadschneider A 2000 Phys. Rep. 329 199.
  • 3Helbing D 2001 Rev. Mod. Phys. 73 1067.
  • 4Tang T Q, Shi W F, Shang H Y, Wang Y P 2014 Non- linear Dyn. 76 2017.
  • 5Lighthill M J, Whitham G B 1955 Proc. Roy. Soc. Ser. A 22 317.
  • 6Richards P I 1956 Oper. Res. 4 42.
  • 7Pipes L A 1969 Transpn. Res. 3 229.
  • 8Payne H J 1971 Models of Freeway Traic and Control: Mathematical Models of Public Systems 1 51.
  • 9Kuhne R D 1984 Proceeding 9th International Sym- posium on Transportation and Traic Theory Delft, Netherlands, July 11-13, 1984 p21.
  • 10Jiang R, Wu Q S, Zhu Z J 2002 Transp. Res. B 36 405.

共引文献24

同被引文献77

引证文献6

二级引证文献25

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部