Auto Insurance Claims in New Jersey and Pennsylvania

2001 ◽  
pp. 139-157 ◽  
Author(s):  
Jia-Hsing Yeh ◽  
Joan T. Schmit
Keyword(s):  
New Jersey ◽  
Insurance Claims ◽  
Auto Insurance

Using claims prediction model for road safety evaluation

2001 ◽  
Vol 28 (5) ◽  
pp. 804-812 ◽  
Author(s):  
Paul de Leur ◽  
Tarek Sayed
Keyword(s):  
Prediction Model ◽  
Road Safety ◽  
Claims Data ◽  
Safety Evaluation ◽  
Safety Analysis ◽  
Insurance Claims ◽  
Insurance Claim ◽  
Auto Insurance ◽  
Improvement Programs ◽  
Traffic Collision

Road safety analysis is typically undertaken using traffic collision data. However, the collision data often suffer from quality and reliability problems. These problems can inhibit the ability of road safety engineers to evaluate and analyze road safety performance. An alternate source of data that characterize the events of a traffic collision is the records that become available from an auto insurance claim. In settling an auto insurance claim, a claim adjuster must make an assessment and determination of the circumstances of the event, recording important contributing factors that led to the crash occurrence. As such, there is an opportunity to access and use the claims data in road safety engineering analysis. This paper presents the results of an initial attempt to use auto insurance claims records in road safety evaluation by developing and applying a claim prediction model. The prediction model will provide an estimate of the number of auto insurance claims that can be expected at signalized intersections in the Vancouver area of British Columbia, Canada. A discussion of the usefulness and application of the claim prediction model will be provided together with a recommendation on how the claims data could be utilized in the future.Key words: road safety improvement programs, auto insurance claims, road safety analysis, prediction models.

scholarly journals Blockchain for automotive: An insight towards the IPFS blockchain-based auto insurance sector

2021 ◽  
Vol 11 (3) ◽  
pp. 2443
Author(s):  
Nishara Nizamuddin ◽  
Ahed Abugabah
Keyword(s):  
Automotive Industry ◽  
Industrial Revolution ◽  
New Technologies ◽  
Insurance Company ◽  
Insurance Claims ◽  
Auto Insurance ◽  
Insurance Sector ◽  
The Past ◽  
Disruptive Innovations ◽  
New Policies

The advancing technology and industrial revolution have taken the automotive industry by storm in recent times. The auto sector’s constantly growing demand has paved the way for the automobile sector to embrace new technologies and disruptive innovations. The multi-trillion dollar, complex auto insurance sector is still stuck in the regulations of the past. Most of the customers still contact the insurance company by phone to buy new policies and process existing insurance claims. The customers still face the risk of fraudulent online brokers, as policies are mostly signed and processed on papers which often require human supervision, with a risk of error. The insurance sector faces a threat of failure due to losing and misconception of policies and information. We present a decentralized IPFS and blockchain-based framework for the auto insurance sector that regulates the activities in terms of insurance claims for automobiles and automates payments. This article also discusses how blockchain technology’s features can be useful for the decentralized autonomous vehicle’s ecosystem.

scholarly journals Modelling auto insurance claims in Singapore

2017 ◽  
Vol 18 (2) ◽  
pp. 105
Author(s):  
Yogita S. Wagh ◽  
Kirtee K. Kamalja
Keyword(s):  
Insurance Claims ◽  
Auto Insurance

scholarly journals Modeling the Frequency and Severity of Auto Insurance Claims Using Statistical Distributions

2018 ◽  
Vol 08 (01) ◽  
pp. 137-160 ◽  
Author(s):  
Cyprian Ondieki Omari ◽  
Shalyne Gathoni Nyambura ◽  
Joan Martha Wairimu Mwangi
Keyword(s):  
Statistical Distributions ◽  
Insurance Claims ◽  
Auto Insurance

Community-based dental programs: University of Medicine and Dentistry of New Jersey-New Jersey Dental School

1999 ◽  
Vol 63 (12) ◽  
pp. 969-975 ◽  
Author(s):  
WR Cinotti ◽  
RA Saporito ◽  
CA Feldman ◽  
G Mardirossian ◽  
J DeCastro
Keyword(s):  
New Jersey ◽  
Dental School ◽  
Community Based

The Medical Society of New Jersey since 1766

JAMA ◽  
1966 ◽  
Vol 196 (7) ◽  
pp. 645-646
Author(s):  
F. B. Rogers
Keyword(s):  
New Jersey ◽  
Medical Society
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