This article aims to proactively predict high-risk accident areas in a new highway project terms of its technical and geometric characteristics. The purpose this study is provide road managers with better safety assessment tools for the vehicle occupant category. methodology used combines International Road Assessment Program (IRAP) Geographic Information System (GIS). IRAP program enables calc...

Safely avoiding accident prone routes is vital to maintaining safe and intelligent transportation. Real-time crowd sourcing of accident causing factors (e.g., icy roads, rain slicked road patches) combined with historical accident information can be utilized by intelligent navigation systems to avoid accident prone routes. A vehicle cloud can compute such safe routes and react faster than a cen...

The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy. This has been increasing over years. Regulating traffic on roads is an important task. There by reducing accidents in accident prone zones. The accident was drastically increased over a decade from 4% to 31%. This is a alarming issue. The analysis and ide...

Rear-end collisions are caused by drivers misjudging urgent risks while following vehicles ahead in most cases. However, compared with other accident types, rear-end have higher preventability. This study aims to reveal the prone segments and hours of collisions. First, we extracted 1236 cases from traffic records Harbin 2015 2019. These accidents classified as property damage accidents, injury...

In urban cities, visual information on and along roadways is likely to distract drivers lead missing traffic signs other accident-prone (AP) features. To avoid accidents due these cues, this paper proposes a notification of AP-features based real-time images obtained via dashcam. For purpose, Google Street View around accident hotspots (areas dense occurrence) identified by real-accident datase...

Factors related to the road infrastructure contribute occurrence of motorcycle accidents. This study investigates how design parameters existing rural two-lane network in Norway influence single The elements considered this are horizontal curvature (curve type, degree curvature, and adjacent curve requirements) lane shoulder widths. A matched case-control was applied investigate safety effects ...

The objective of an accident-mapping algorithm is to snap traffic accidents onto the correct road segments. Assigning accidents onto the correct segments facilitate to robustly carry out some key analyses in accident research including the identification of accident hot-spots, network-level risk mapping and segment-level accident risk modelling. Existing risk mapping algorithms have some severe...