Risk analysis for severe traffic accidents in long road tunnels

2016 ◽  
Vol 3 (1/2) ◽  
pp. 106 ◽  
Author(s):  
Konstantinos Gkoumas ◽  
Carmine Di Santo ◽  
Franco Bontempi
Keyword(s):  
Risk Analysis ◽  
Traffic Accidents ◽  
Road Tunnels

scholarly journals Quantitative risk analysis for road tunnels complying with EU regulations

2010 ◽  
Vol 13 (8) ◽  
pp. 1027-1041 ◽  
Author(s):  
Konstantinos A. Kirytopoulos ◽  
Athanasios A. Rentizelas ◽  
Ilias P. Tatsiopoulos ◽  
George Papadopoulos
Keyword(s):  
Risk Analysis ◽  
Quantitative Risk Analysis ◽  
Road Tunnels

scholarly journals Statistical Analysis of Traffic Accidents in Shanghai River Crossing Tunnels and Safety Countermeasures

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Linjun Lu ◽  
Jian Lu ◽  
Yingying Xing ◽  
Chen Wang ◽  
Fuquan Pan
Keyword(s):  
Statistical Analysis ◽  
Traffic Accidents ◽  
Temporal And Spatial Distribution ◽  
Urban Road ◽  
Spatial Distribution Characteristics ◽  
Road Tunnels ◽  
Accident Data ◽  
Tunnel Safety ◽  
Temporal And Spatial ◽  
Safety Countermeasures

A large number of traffic tunnel accidents have been reported in China since the 21th century. However, few studies have been reported to analyze traffic accidents that have occurred in urban road tunnels. This study aims to examine the characteristics of the temporal, spatial, and modality distributions of traffic in Shanghai river crossing tunnels using statistical analysis and comparative analysis. Employing these techniques tunnel accident data obtained from Shanghai center 110 was analyzed to determine temporal and spatial distribution characteristics of traffic accidents in river crossing tunnels in Shanghai. The results of this analysis are discussed and summarized in this paper. Identification of the characteristics of tunnel traffic accidents can provide valuable information for development of effective countermeasures to improve tunnel safety in China.

scholarly journals Risk analysis for forecasting cyberattacks against connected and autonomous vehicles

2021 ◽  
Author(s):  
Sunniva F. Meyer ◽  
Rune Elvik ◽  
Espen Johnsson
Keyword(s):  
Risk Analysis ◽  
Transport System ◽  
Autonomous Vehicles ◽  
Traffic Accidents ◽  
Domestic Abuse ◽  
Connected Vehicles ◽  
Security Risk ◽  
Safety Measures

AbstractA security risk analysis was conducted to identify possible cyberattacks against a future transport system consisting of autonomous and connected vehicles. Six scenarios were developed: joyriding, kidnapping, domestic abuse, autopilot manipulation, a large transport accident, and paralysis of the transport system. Even if it were possible to increase the difficulty of conducting such cyberattacks, it might be impossible to eliminate such attacks entirely. Measures that limit the consequences will therefore be necessary. Such measures include safety measures in vehicles to protect their occupants in traffic accidents and measures that make vehicles easier to remove in case they do not function.

Road Tunnels Risk Analysis

2019 ◽  
pp. 1-8
Author(s):  
Fabio Borghetti ◽  
Paolo Cerean ◽  
Marco Derudi ◽  
Alessio Frassoldati
Keyword(s):  
Risk Analysis ◽  
Road Tunnels

scholarly journals Investigating the Importance of Tunnel Lighting and its Role in Reducing Traffic Accidents

2021 ◽  
Vol 3 (29) ◽  
pp. 39-57
Author(s):  
Massoud Danishmal ◽  
◽  
Zainullah Serat ◽  
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
System Failure ◽  
Road Accidents ◽  
Lighting System ◽  
Key Factors ◽  
Road Tunnels ◽  
The World ◽  
Risk Potential ◽  
Tunnel Entrance

Traffic safety is a major concern worldwide. Road accidents are the ninth leading cause of death in the world. Tunnel accidents are less common than road accidents. However, the severity of the accidents is more severe. One of the key factors in preventing accidents in road tunnels is proper lighting system. Failure to pay attention to this issue causes the phenomenon of black hole when approaching the tunnel, visual mismatch inside the tunnel and the phenomenon of glowing hole when leaving the tunnel. The creation of these factors has increased the risk potential at the entrance and exit of the tunnel up to 4 times the middle area of the tunnel. At the entrance to the tunnel, the reflection of sunlight from the surroundings and the lack of sufficient light usually cause some vision problems. It may lead to drivers' eyes not adapting to changing the brightness level at the tunnel entrance, thus increasing the risk of road accidents in this area. The aim of this study was to evaluate the lighting safety in very long road tunnels based on the visual adaptation of drivers in the tunnels. In this paper, first, generalities about tunnel safety are stated and using the CIE88-2004 standard, the required luminosity in the threshold, transition, interior and exit areas of the tunnel is designed. Finally, solutions are proposed to increase the safety of tunnels.

scholarly journals An Evacuation Model for Risk Analysis in Spanish Road Tunnels

2014 ◽  
Vol 162 ◽  
pp. 208-217 ◽  
Author(s):  
Virginia Alonso ◽  
Orlando Abreu ◽  
Arturo Cuesta ◽  
Daniel Alvear
Keyword(s):  
Risk Analysis ◽  
Road Tunnels ◽  
Evacuation Model

scholarly journals Pedestrian risk analysis at Jl. Raya Citayam – Jl. Boulevard Raya Grand Depok City intersection leg using pedestrian risk index

2019 ◽  
Vol 276 ◽  
pp. 03011
Author(s):  
Elven Aprilnico ◽  
Martha Leni Siregar
Keyword(s):  
Risk Analysis ◽  
Traffic Accidents ◽  
Risk Index ◽  
Risk Level ◽  
Traffic Conflict

Based on data obtained from Korps Lalu Lintas Kepolisian Negara Republik Indonesia there are 4,007 traffic accidents involving pedestrian in this period (October 2017-March 2018), where 499 of them happened at intersection. The purpose of this research is to analyze the risk level of pedestrian when crossing the intersection leg (using Pedestrian Risk Index (PRI). The concept of TCT (Traffic Conflict Technique) is adopted and a designed group(s) of pedestrians are observed while crossing the streets at a zebra cross and while crossing the street without a zebra cross. Pedestrians are observed when crossing individually and in groups. Data extracted include time and distance to accidents, crossing directions, and speed. Results indicate that compared to the existence of zebra crossing and crossing direction, the number of pedestrian in group significantly determines the risk level.

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