Abstract Traffic safety is the main support of transportation engineering. Otherwise, there no benefit to a facility that lacks safety. Despite that, most road engineers in developing countries ignore traffic their designs or adopt traditional methods suffer from data weakness. So an urgent need for surrogate measures more accurate methods. This paper offers assessment at signalized intersectio...

This paper develops driver reaction-time models for car-following analysis based on human factors. The reaction time was classified as brake-reaction time (BRT) and acceleration/deceleration reaction time (ADRT). The BRT occurs when the lead vehicle is barking and its brake light is on, while the ADRT occurs when the driver reacts to adjust his/her speed using the gas pedal only. The study eval...

Autonomous driving vehicles are becoming popular as a solution to reach safe, efficient and comfortable mobility. However, at early market penetration, autonomous vehicles based on Cooperative ACC (C-ACC) policies will have to co-exist in mixed traffic conditions with less autonomous vehicles, such as Adaptive Cruise Control (ACC) or conventional vehicles. In this paper, we introduce a simple c...

Rear-end collision accounts for around 8% of all vehicle crashes in the UK, with failure to notice or react a brake light signal being major contributory cause. Meanwhile traditional incandescent bulbs on vehicles are increasingly replaced by profusion designs featuring LEDs. In this paper, we investigate efficacy design using novel approach recording subject reaction times simulation setting p...

This research introduces an innovative strategy to impede and lessen lateral rear-end vehicular collisions by consolidating braking systems with active emergency steering controls. study puts forward a T-type method, designed circumvent both at intersections. To secure stability condense the time required for during process, this formulates nonlinear dynamic model vehicle, in addition tire mode...

OBJECTIVE Signalized intersections are accident-prone areas especially for rear-end crashes due to the fact that the diversity of the braking behaviors of drivers increases during the signal change. The objective of this article is to improve knowledge of the relationship between rear-end crashes occurring at signalized intersections and a series of potential traffic risk factors classified by ...

According to The Handbook of Tunnel Fire Safety, over 90% (55 out of 61 cases) of fires in road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus important to develop a proper methodology that is able to estimate the rear-end vehicle crash frequency in road tunnels. In this paper, we first analyze the time to collision (TTC) data collected from two road tunnels of ...

Recent advancement in traffic surveillance systems has allowed for obtaining more detailed vehicular movement such as individual vehicle trajectory data. Understanding the characteristics of interactions between leading vehicle and following in the traffic flow stream is a backbone for designing and evaluating more sophisticated traffic and vehicle control strategies. This study proposes a meth...

This research investigates the factors that lead to three manners of collision (namely, rear-end, angle, and sideswipe) that occurred in the same direction of multilane interstate highways. Mixed logit (MXL) models were developed to estimate the probability of rear-end, angle, and sideswipe collisions as functions of vehicle-following attributes and other driving maneuvers immediately before co...

This study was a prospective evaluation of serial muscle enzyme changes in 25 consecutive patients who were suffering from neck pain following a rear end motor vehicle accident. The objectives were to assess if muscle damage occurs and to quantify it following a whiplash injury. It is often stated that a whiplash injury is a soft tissue injury consisting of damage to the muscles and ligaments o...