Safety evaluation model of urban cross-river tunnel based on driving simulation. Issue 3 (3rd July 2017)

• Record Type: Journal Article
• Authors: Ma, Yingqi; Lu, Linjun; Lu, Jian John
• Is Part Of: International journal of injury control and safety promotion. Volume 24:Issue 3(2017)
• Page Start: 293
• Page End: 302
• Publication Date: 2017-07-03
• Subjects: urban cross-river tunnel -- driving simulation -- safety evaluation -- analytic hierarchy process -- accident rate -- driving risk; Wounds and injuries -- Prevention -- Periodicals; Wounds and Injuries -- prevention & control -- Periodicals; Consumer Product Safety -- Periodicals; 363.107
• DOI: 10.1080/17457300.2016.1170044
• Languages: English
• ISSNs: 1745-7300

Abstract

Abstract : Currently, Shanghai urban cross-river tunnels have three principal characteristics: increased traffic, a high accident rate and rapidly developing construction. Because of their complex geographic and hydrological characteristics, the alignment conditions in urban cross-river tunnels are more complicated than in highway tunnels, so a safety evaluation of urban cross-river tunnels is necessary to suggest follow-up construction and changes in operational management. A driving risk index (DRI) for urban cross-river tunnels was proposed in this study. An index system was also constructed, combining eight factors derived from the output of a driving simulator regarding three aspects of risk due to following, lateral accidents and driver workload. Analytic hierarchy process methods and expert marking and normalization processing were applied to construct a mathematical model for the DRI. The driving simulator was used to simulate 12 Shanghai urban cross-river tunnels and a relationship was obtained between the DRI for the tunnels and the corresponding accident rate (AR) via a regression analysis. The regression analysis results showed that the relationship between the DRI and the AR mapped to an exponential function with a high degree of fit. In the absence of detailed accident data, a safety evaluation model based on factors derived from a driving simulation can effectively assess the driving risk in urban cross-river tunnels constructed or in design.