scholarly journals Acceptance Factors of Car Insurance Innovations: The Case of Usage-Based Insurance

2020 ◽  
pp. 45-55
Author(s):  
Juan Quintero ◽  
◽  
Alexandr Railean ◽  
Zinaida Benenson
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Structured Interviews ◽  
Research Attention ◽  
Driving Behaviour ◽  
Dangerous Driving ◽  
Web Forum ◽  
Car Insurance

Usage-Based Insurance (UBI) is an application of Intelligent Transportation Systems (ITS) in the context of car insurance. UBI refers to insurance models in which insurers collect driving data using a telematics device. Based on the collected information, insurers can offer individual discounts depending on driving behaviour and provide feedback about each trip. Although there are plenty of advertising materials about the benefits of UBI, its user acceptance and usability have not received much research attention so far. To cover this gap, we conducted two user studies: semi-structured interviews with UBI users and a qualitative analysis of 186 customer inquiries concerning a UBI program from a web forum of a German insurer. We found that UBI can benefit drivers, insurers and society. Moreover, the country driving conditions, the policy conditions, the users’ perceived driving style, the perception of UBI, and the premium reduction influence UBI acceptance. Regarding traffic safety, some of our participants were concerned that UBI may provoke dangerous driving behaviour under certain circumstances. Finally, we make recommendations for insurers derived from users’ views, such as to provide to drivers more control over the user interface and over the way driving feedback is given to them. Concerning the driving scores, the ways in which they are calculated should be more transparent.

scholarly journals Angle-Awareness Based Joint Cooperative Positioning and Warning for Intelligent Transportation Systems

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5818
Author(s):  
Zhi Dong ◽  
Bobin Yao
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Estimation Algorithm ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Cooperative Positioning ◽  
Traffic Efficiency ◽  
Sequential Task ◽  
Weighting Strategy ◽  
Eigen Decomposition

In future intelligent vehicle-infrastructure cooperation frameworks, accurate self-positioning is an important prerequisite for better driving environment evaluation (e.g., traffic safety and traffic efficiency). We herein describe a joint cooperative positioning and warning (JCPW) system based on angle information. In this system, we first design the sequential task allocation of cooperative positioning (CP) warning and the related frame format of the positioning packet. With the cooperation of RSUs, multiple groups of the two-dimensional angle-of-departure (AOD) are estimated and then transformed into the vehicle’s positions. Considering the system computational efficiency, a novel AOD estimation algorithm based on a truncated signal subspace is proposed, which can avoid the eigen decomposition and exhaustive spectrum searching; and a distance based weighting strategy is also utilized to fuse multiple independent estimations. Numerical simulations prove that the proposed method can be a better alternative to achieve sub-lane level positioning if considering the accuracy and computational complexity.

Virtual Automated Transit System (VATS) and Intelligent Transportation Systems (ITS) Application to Intermodal Freight Movements in Northeastern Illinois

2004 ◽  
Author(s):  
Farid Amirouche ◽  
Khurram Mahmudi ◽  
David Zavattero
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Easy Access ◽  
State Governments ◽  
Transit System ◽  
Interstate Highway System ◽  
Roadway Design ◽  
Highway System

This paper addresses the issues faced by local and state governments concerning increasing traffic congestions, inadequate roadway design and traffic safety problems caused by the freight truck traffic; on the other hand, the freight industry is seeking to improve productivity by having easy access and direct routes between the intermodal facilities and the interstate highway system.

Navigation and Intelligent Transportation Systems

1998 ◽  
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Cellular Phone ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Navigation Systems ◽  
Route Guidance ◽  
Highway Traffic ◽  
National Highway Traffic Safety

Navigation and Intelligent Transportation Systems contains 40 papers covering the technical and functional aspects of these systems including: 3D mapping, route guidance, cellular phone access, electronic compasses, and the history and future of navigation systems. The book also covers the important role of navigation in Intelligent Transportation Systems concerned with traffic management, traveler information, vehicle control systems, commercial vehicle operations, and public and rural transportation systems. The book concludes with a chapter on the Intelligent Vehicle Initiative, a joint program between the National Highway Traffic Safety Administration, the Federal Highway Administration, and the Federal Transit Administration.

scholarly journals Trends in Next Generation Intelligent Transportation Systems

2021 ◽  
Author(s):  
Prem Chand Jain
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
High Reliability ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Vehicle Safety ◽  
Service Support ◽  
V2v Communication ◽  
High Data ◽  
Making A Difference

The objective of Intelligent transportation system (ITS) and related National highway traffic safety administration (NHTSA) is to improve vehicle safety and reduce accidents, injuries, and deaths. Advanced driver assistance system (ADAS) is making a difference in vehicle safety. The objective of ADAS is to provide a continuous picture environment surrounding the vehicle. This vision around the vehicle is seen by the driver to take the decision. Vehicular communication is a part of Intelligent Transport System which provides an intelligent way of transport to avoid accidents. As the transportation moves towards environment of connected and autonomous vehicles, the role of communication and data transfer becomes important. Connected vehicles can be used for both infotainment and navigation for vehicle safety. Vehicle-to-vehicle (V2V) communication allows vehicles to talk to each other and exchange data about location, direction of travel, speed, brake, accelerator status, and other facts. This information is analyzed and used to avoid collision. C-V2X (Cellular-Vehicle-to-Everything) can provide better quality of service support, large coverage, and high data rate for moving vehicles. Device-to-device (D2D) communication in C-V2X provides high reliability and low latency. In 5G Rel.16 C-V2X will become an integral part of 5G cellular network providing higher capacity, coverage, etc. Today old aged/disabled person look for driving technology that is convenient and easy to use. V2X technology will offset some of the concerns about old aged/disabled driver’s abilities to respond quickly to challenge by driving environment as they no longer be required to handle most of the decisions.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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