Variable message signs (VMS) are used to provide dynamic information and one current application is to show different speed limits under different conditions. As speed is an important contributor to road accidents and also affects driver speed behavior, the present study focuses on how effective traffic advisory information is when helping drivers to divert from potentially dangerous conditions. Graphical representation of an Expressway section made it easy to isolate the effects of speed etc. by drivers with information provided through VMS under adverse fog conditions. Understanding and reacting to the VMS system by drivers is essential for its success. If drivers do not react by changing speed behavior then the VMS system will fail and further implementation may cease. In this paper an Analysis of Variance model, which is appropriate to the proposed experimental conditions, is used to study how subjects (drivers) will perceive provided information and also to find the effect of VMS on driver speed behavior on the simulated Expressway section.
机构:
Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USAKing Saud Univ, Prince Mohamed Bin Naif Chair Traff Safety Res, Riyadh 11421, Saudi Arabia
Abdel-Aty, Mohamed A.
Choi, Keechoo
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Ajou Univ, Dept Transportat Engn, Suwon 441749, South KoreaKing Saud Univ, Prince Mohamed Bin Naif Chair Traff Safety Res, Riyadh 11421, Saudi Arabia
Choi, Keechoo
Algadhi, Saad A.
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King Saud Univ, Prince Mohamed Bin Naif Chair Traff Safety Res, Riyadh 11421, Saudi ArabiaKing Saud Univ, Prince Mohamed Bin Naif Chair Traff Safety Res, Riyadh 11421, Saudi Arabia
机构:
School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile
Instituto Sistemas Complejos de Ingeniería (ISCI), ChileSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile
Basso, Franco
Cifuentes, Alvaro
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Escuela de Ingeniería Industrial, Universidad Diego Portales, ChileSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile
Cifuentes, Alvaro
Pezoa, Raúl
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Escuela de Ingeniería Industrial, Universidad Diego Portales, ChileSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile
Pezoa, Raúl
Varas, Mauricio
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Centro de Investigación en Sustentabilidad y Gestión Estratégica de Recursos, Facultad de Ingeniería, Universidad del Desarrollo, Santiago, ChileSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile
机构:
Beijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R China
Zhang, Yunfan
Yan, Xuedong
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Beijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R China
Yan, Xuedong
Wu, Jiawei
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Beijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R China
Wu, Jiawei
Duan, Ke
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Beijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, MOT Key Lab Transport Ind Big Data Applicat Techn, Beijing 100044, Peoples R China