Questions related to Vehicle Safety
I am trying to calibrate a random parameter ZINB model in R for analyzing factors affecting crash frequency. I found glmmTMB package in R for this purpose. But, It's difficult for me to specify the model. It would be great if I can talk to someone with/out experience in handling crash data.
If anyone has a R code for this, can you provide me?
Please tag me with someone you know.
I want to simulate & analyze the fracture and fatigue (crack growth) in the rear axle housing of heavy tracks (Volvo company) in Abaqus.
My question is which method is suitable for this research and how I can find the geometry and the mechanical & fatigue properties for this specific vehicle?
(If there is any related paper/thesis or anyone can help me, please let me know.)
AASHTO (2001) talks about a value of 4.5 m/sec2 as it was observed that most of the drivers decelerate at a rate greater than 4.5 m/sec2 when decelerating for an unexpected condition.This value may or may not be applicable for Indian Traffic condition which is highly heterogeneous in nature. This situation is characterized by different vehicle categories with diverse static and dynamic characteristics, changing composition, lack of lane discipline. Does it mean that I need to use different DR values for different category of vehicles under different traffic facility? I could not get hold of accident reconstruction specialist who could have helped me in this regard. Kindly advise.
Nowadays, big data comes into our work and life, especially in relation to road traffic. There are massive video monitoring source of road traffic in China, particularly including occurred various crashes, which can be extracted from the cameras in vehicles or on roads or other places. By means of the vivid video record, we can observe and analyze the accident process, and judge what happened, who impact who and who is in duty. Also, the vehicle speed can be easily estimated by a simple calculation method based on the video, and accordingly the whole crash could be reconstructed. However, except for these applications mentioned, what else can be carried out. It is of importance to consider how to fully use the video record source and to perform data mining to obtain more findings for promoting traffic safety and accident prevention. Have you made use of video source of crashes in your work? Any suggestion is welcome! Thanks in advance!
I am working on MATLAB, I cannot wrap my head around the main event of the process where the node will experience an accident and a broadcast message will be triggered.
Nowadays autonomous vehicle is developing rapidly more than we have expected. When a self-driving car just enters into a road, it looks like a careful novice drivers steering a car. The self-driving car should learn from experienced drivers and then exceed them. However, who will be good teachers to instruct the autonomous car to possess excellent driving behavior and experience? What are the proper age, gender, characteristics and driving experience of the normal drivers? Could you understand what I want to discuss with you? Are you interested in this topic? Any implication or suggestion is very welcome. Many thanks in advance!
Rear-end crashes involving multi-vehicle in expressways may be more serious in future. Now we are studying this crash type. For example, several vehicles follow each other with high speed and suddenly one of them goes wrong and serious crashes will occur. The characteristics, crash propagation, injury severity and influence factors should be focused. And the research methods could be mechanical modeling, accident reconstruction and computer simulation. Could you please introduce some relevant literature regarding multi-vehicle rear-end crashes? Thank you in advance!
Tire burst is one of the causation of serious traffic crashes, especially for the cars at high speed. However, it is difficult to simulate this common phenomenon. Now we will use mechanical modeling, automobile theory and crash reconstruction to investigate tire burst of cars and related crashes. But it’s hard to find some existing papers regarding this. Could you recommend some related papers or give some suggestions for me? Thanks in advance.
I would like to assess driving styles, related to safety. For example I know about smart-phone applications, which assess driving style based on speed, acceleration, deceleration, etc. But what are the algorithms? How are the thresholds set in relation to safety? I would like to apply the approaches on vehicle fleet data. Thank you for your help.
I am working on functional safety for road vehicle and i Need to make a documentation for all requirements. if anyone has any experience on this Topic please write me your comments or advice.
I nave tyre model data for the tyres of a large motorcycle but need to model a scooter. The former has 17" wheels front and rear with 120/70 and 190/55 tyres while the latter's tyres are 120/70 x 13" front and 140/70 x 15" rear.
The purpose of the model is for dynamic simulation to use in controller development. Therefore I do not need the model to be perfectly accurate, however I believe that at least a first order improvement in accuracy (relative to using data from tyres of the wrong size) could be obtained by simply applying suitable scale factors to the models inputs or outputs. Thus effectively scaling the slip stiffness, camber stiffness etc. Does anyone have any advise on how to do this or data comparing the characteristics of different sized tyres from which suitable scale factors might be derived?
We have already got a technology for higher end car parking,where vehicle automatically stops when it is about to hit nearby vehicles or objects.
So,it is better for a vehicle safety if the car can automatically change its direction or stop automatically when it's about to hit or crash.
Scholars, I want to know the maximum deceleration rate which can be achieved by any category of vehicle travelling at a certain speed. along with it, I also want to know the average or safe deceleration rate of that vehicle.
So, is there any norm or literature available for this purpose? if yes, please do post your answers. If not, then whether any methodology or procedures are available for calculating these rates as mentioned above?
If someone know about pre-crash battery temperature values for Electric vehicles from any of the vehicle safety organizations (NHTSA, NCA, IIHS, etc.)? can you please share with reference? Thanks
Crashes involving commercial vehicles (e g. Heavy-duty truck) are very serious. So it is crucial for these vehicles to be equipped with some practical active safety systems and driver assistant systems to avoid related accidents. Drivers are always in risky status, such as fatigue, sleepy, distraction, speeding, especially in adverse conditions of night, bad weather and visibility. Types of crashes usually include rear-end, frontal, side impact between vehicles and single-vehicle collision, which mainly have the characteristics of lane departure, speeding and with blind zone for large trucks. Due to so many casualties caused by these accidents in China, researchers should investigate some proper systems for trucks based on the contributing factors of crashes.
When people drive in bad weather, they will be in trouble with blurred vision and disturbed by the wipers. The wipers suddenly appear and block driver’s sight and the windshield is not very clean. Now haze is a common weather in China and the windscreen is always dirty. So I think it is necessary to invent a new type of front windshield for vehicles, which can be made of some new glass material or coating with self-cleaning and dewatering function. Any suggestions on this topic are very welcome.
The main objective is to know the future number of traffic fatalities in several countries and several years. We have the past number of fatalities for each country from 1991 to 2012 and want to forecast it up to 2018. The idea is to use just one model considering all of the countries all at once and not modelling for each country. Therefore, it is panel data.
Thanks a lot!
ISO standard 2631 defines human tolerance to whole body vibration in terms of r.m.s. and the curves used to evaluate same are given in 'Theory of Ground Vehicles' by J.Y. Wong, which I am attaching below. How do I obtain the standard curves so that I can compare my results with the ISO standard ?
For national (or regional) road safety evaluations and comparison we have been using two safety performance indicators (SPIs):
- direct (crashes, fatalities, injuries...)
- indirect (speed, speeding, seat belt use, daytime running lights use, cell phone use...)
Now I am trying to find some correlations between them. And I ask, for example: Should percent of speeding correlate with crash counts? or with fatalities? or injuries?
All is done on the level of country (or regions) - so direct SPIs are from national/regional statistics. Indirect SPIs are from surveys, typically 7 locations per region, once per year.
And lots of other questions, for example: when surveys are done in weekdays, spring/autumn, dry weather, should crashes to correlation also come only from the same conditions? (or possibly even only in the days/hours of survey?)
I will welcome any ideas on how to do these analyses, references, etc. Thank you in advance.
I need to calculate the probability of the vehicles having some kind of incidents/accidents based on the intersection characteristics (grade, signage, median, etc.). It will answer the question that, for example, how much the probability of head-on crashes would change if we add raised median to the intersection.
However, I was wondering if there is any method/model to be used that relates this probability to actual frequency. For instance, back to my previous example and given the probability of head-on crashes, we can determine 5 head-on crashes will occur on a given intersection.
The most usual way to do this is the ratio (crashes) / (billion vehicle km travelled). But what if we don't have AADT data? Is it right to calculate the ratio (crashes) / (road length) for 2km road segments? The 2km is an example of course.. Thank you in advance!
Adaptive cruise control is an active safety system, widely used in Foreign countries. The German, Japanese and many more foreign car manufacturers launching luxurious cars in India, having Active safety features like Adaptive cruise control.
As per my knowledge the major control is by Camera and Radar Sensors. Will the same mapping or programming of ECU is compatible with Indian Driving scenario?
The camera in the vehicle is used for lane assist and obstacle detection and RADAR mainly detects the vehicle in front.
But for Indian road conditions where there is lack of lane markings and huge traffic of Two wheelers, how modifications are necessary ? or the same ECU programming is good enough to tackle the challenges in India ?
One method to achieve "lateral force understeer" characteristic in torsion beam suspension system is to use special bushes; such as complex bushes. dose any one know any thing about this method and this bushes?
Measurement can be done by radar technology, but I am looking for cheaper solution that can measure long term travelling at an instantaneous basis means, maybe every second or so measuring both distance and speed.
Since many bicycle accidents occur when the driver never sees the bicyclist, I want to take several videos from the car driver's point of view as he or she is driving down the road in different situations. I want to change several variable on the bicyclist as far as what they are wearing and compare reaction time when the driver would first notice the bicyclist on the road.
I want to incorporate the videos as a time reaction test and have people test their reaction to the different driving scenarios on a computer screen. The goal is to see if there is a difference in reaction time.
Does anyone have an idea how I would go about constructing a test like this, that would record the results of groups of people taking this reaction test? I appreciate any ideas.
I read an article about Caterpillar selling an eye tracker system for $20,000 to combat driver fatigue. http://www.bbc.co.uk/news/technology-22640279.
Personally, it seems to me that a viable fatigue detection solution could be done less expensively. I'm curious about what other researchers or companies are doing in the driver fatigue research area. The end of the article mentions a few alternatives to Caterpillar's system - any comment on those?
This question is inspired from reading this article at the Huffington Post, where a US senator is very concerned about security issues in driverless cars. http://www.huffingtonpost.com/2013/05/17/driverless-car-hack_n_3292748.html.
Is the security technology at a sufficiently mature level now that the senator's security concerns are, for the most part, unreasonable?