scholarly journals Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3658
Author(s):  
Qingfeng Zhu ◽  
Sai Ji ◽  
Jian Shen ◽  
Yongjun Ren
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Location Privacy ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Security Analysis ◽  
Geographical Location ◽  
Experimental Simulation ◽  
Control Center

With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches.

The Application of Polling System in Intelligent Transportation System

2014 ◽  
Vol 644-650 ◽  
pp. 823-827
Author(s):  
Chao Li ◽  
Hong Wei Ding ◽  
Qian Lin Liu ◽  
Xu Lu
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Arrival Rate ◽  
Rate Theory ◽  
Polling System ◽  
Human Society ◽  
Traffic Control System ◽  
Simulation Results

With the advancement of society, transport plays an increasingly important role in human society, but more and more traffic problems are constantly plagued mankind. Aiming at the problems facing the traffic and improve the traffic situation, the polling system is applied to intelligent traffic control system in this paper. Based on the type of paper feed of the arrival rate theory, the vehicle arrives at different rates, the wait time is different. Arrival rate is high, the longer the waiting time. Then we simulate system and get the simulation results, and compare the theoretical and simulation results. Finally, the theory to practical systems is using in microprocessor hardware simulation, and actual results further validate the correctness. Through the intelligent traffic control system, a good solution to traffic jam phenomenon is got and traffic management plays an important role.

Communication Improvement and Traffic Control Based on V2I in Smart City Framework

2018 ◽  
Vol 2 (1) ◽  
pp. 18-33 ◽  
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Soft Computing ◽  
Traffic Control ◽  
Traffic Management ◽  
Smart Cities ◽  
Intelligent Vehicles ◽  
Traffic Information ◽  
Computing Technique ◽  
Smart Vehicles ◽  
Soft Computing Techniques ◽  
Intelligent Communication

This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.

scholarly journals An efficient anonymous authentication and key agreement scheme with privacy-preserving for smart cities

2021 ◽  
Vol 17 (6) ◽  
pp. 155014772110268
Author(s):  
Xueya Xia ◽  
Sai Ji ◽  
Pandi Vijayakumar ◽  
Jian Shen ◽  
Joel J. P. C. Rodrigues
Keyword(s):  
Internet Of Things ◽  
Privacy Preservation ◽  
Key Agreement ◽  
Smart Cities ◽  
Security Analysis ◽  
Security And Privacy ◽  
Experimental Simulation ◽  
Authentication And Key Agreement ◽  
Anonymous Authentication ◽  
Evaluation Mechanism

Internet of Things devices are responsible for collecting and transmitting data in smart cities, assisting smart cities to release greater potential. As Internet of Things devices are increasingly connected to smart cities, security and privacy have gradually become important issues. Recently, research works on mitigating security challenges of Internet of Things devices in smart cities mainly focused on authentication. However, in most of the existing authentication protocols, the trustworthiness evaluation of Internet of Things devices in smart cities is ignored. Considering the trustworthiness evaluation of Internet of Things devices is an important constituent of data source authentication, in this article, a cloud-aided trustworthiness evaluation mechanism is first designed to improve the credibility of the Internet of Things devices in smart cities. Furthermore, aiming at the problem that the user’s privacy is easy to leak in the process of authentication, an anonymous authentication and key agreement scheme based on non-interactive zero knowledge argument is proposed. The proposed scheme can ensure the privacy preservation and data security of Internet of Things devices in smart cities. The security analysis demonstrates that the proposed scheme is secure under q-SDH problem. The experimental simulation indicates that the performance of the proposal is greatly improved compared with other similar schemes.

scholarly journals A Back-of-Queue Model of a Signal-Controlled Intersection Approach Developed Based on Analysis of Vehicle Driver Behavior

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1204
Author(s):  
Elżbieta Macioszek ◽  
Damian Iwanowicz
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Energy Savings ◽  
New Technologies ◽  
Road Traffic ◽  
Smart Cities ◽  
Data Gathering ◽  
Transport Systems ◽  
Practical Applications ◽  
On The Road

In smart cities, it is expected that transport, communication as well as the movement of people and goods will take place in the shortest possible time while maintaining a high level of safety. In recent years, due to the significant increase in the number of passengers and vehicles on the road and the capacity limitations of transport networks, it has become necessary to use new technologies for intelligent control and traffic management. Intelligent transport systems use advanced technologies in the field of data gathering, information processing, and traffic control to meet current transport needs. To be able to effectively control and manage road traffic, it is necessary to have reliable mathematical models that allow for a faithful representation of the real traffic conditions. Models of this type are usually the basis of complex algorithms used in practice in road traffic control. The application of appropriate models reflecting the behavior of road users contributes to the reduction of congestion, the vehicles travel time on the transport network, fuel consumption and the emissions, which in turn support broadly understood energy savings. The article proposes a model that allows for the estimation of the maximum queue size at the signal-controlled intersection approach (so-called: maximum back-of-queue). This model takes into account the most important traffic characteristics of the vehicles forming this queue. The verification allowed for the conclusion that the proposed model is characterized by high compliance with the actual traffic and road conditions at the intersections with signal controllers located in built-up areas in Poland. The obtained compliance confirms the possibility of using the model for practical applications in calculating the maximum back-of-queue at signal-controlled intersections located in built-up areas in Poland.

Going with the Flow - Computer Visualization of Road Traffic Information

1993 ◽  
Vol 37 (4) ◽  
pp. 353-357
Author(s):  
John Murray ◽  
Yili Liu
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Road Traffic ◽  
Human Subjects ◽  
Traffic Information ◽  
Color Coding ◽  
Control Center ◽  
Computer Visualization ◽  
Vehicular Speed ◽  
Real State

Advanced road traffic management systems provide numerous opportunities for the application of sophisticated computer visualization concepts. The operating staff in a traffic control center are required to assimilate large quantities of incoming data in order to determine the real state of traffic flow and congestion. Part of the incoming data relates to vehicular speed and density, and is often not subjected to sufficient pre-processing before presentation in tabular form on a video display terminal (VDT). Improvements in the format of the tabular information are therefore worthy of investigation. A traffic control simulation experiment was conducted to examine how human subjects extract information from VDT data presented in several different formats. Subjects were asked to respond to exceptional values which occurred randomly in tabular columns of frequently changing data. Their accuracy and reaction time were measured for data columns which were sorted or unsorted, and for data which was presented either numerically or color-coded. Analysis of the results suggests that both sorting and color-coding are significant in reducing response time, and that color-coding is appreciably more effective in this regard.

scholarly journals MuTraff: A Smart-City Multi-Map Traffic Routing Framework

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5342 ◽  
Author(s):  
Alvaro Paricio ◽  
Miguel Lopez-Carmona
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Congestion Management ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Reference Architecture ◽  
Control Center ◽  
Traffic Routing ◽  
Traffic Management System

Urban traffic routing is deemed to be a significant challenge in intelligent transportation systems. Existing implementations suffer from several intrinsic issues such as scalability in centralized systems, unnecessary complexity of mechanisms and communication in distributed systems, and lack of privacy. These imply force intensive computational tasks in the traffic control center, continuous communication in real-time with involved stakeholders which require drivers to reveal their location, origin, and destination of their trips. In this paper we present an innovative urban traffic routing framework and reference architecture (multimap traffic control architecture, MuTraff), which is based on the strategical generation and distribution of a set of traffic network maps (traffic weighted multimaps, TWM) to vehicle categories or fleets. Each map in a TWM map set has the same topology but a different distribution of link weights, which are computed by considering policies and constraints that may apply to different vehicle groups. MuTraff delivers a traffic management system (TMS), where a traffic control center generates and distributes maps, while routing computation is performed at the vehicles. We show how this balance between generation, distribution, and routing computation improves scalability, eases communication complexities, and solves former privacy issues. Our study presents case studies in a real city environment for (a) global congestion management using random maps; (b) congestion control on road incidents; and c) emergency fleets routing. We show that MuTraff is a promising foundation framework that is easy to deploy, and is compatible with other existing TMS frameworks.

scholarly journals Design on Highway Information Publishing System and Benefit Analysis of Traffic Control System

2011 ◽  
Vol 1 ◽  
pp. 343-347
Author(s):  
Wei Li ◽  
Guo Dong Han
Keyword(s):  
Control System ◽  
Public Transportation ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Information Control ◽  
Control Center ◽  
Shared Information ◽  
Traffic Control System ◽  
Information Publishing

With the purpose of offering dynamic information services for road users, the information publishing scheme is proposed based on variable message sign and variable speed limit sign. And the information publishing system shared information control center with public transportation service system is established. The economic benefit of intelligent traffic control system is quantitatively studied by radar map method for the first time. Research shows that intelligent traffic control system has reached ideal-steady state. The research results reduce traffic congestion and improve the highway utilization and traffic management efficiency.

scholarly journals A review on vehicle to vehicle communication system applications

2020 ◽  
Vol 18 (1) ◽  
pp. 188
Author(s):  
Hussein Ali Ameen ◽  
Abd Kadir Mahamad ◽  
Sharifah Saon ◽  
Danial Md. Nor ◽  
Kareem Ghazi
Keyword(s):  
Information And Communication Technologies ◽  
Traffic Safety ◽  
Traffic Control ◽  
Data Exchange ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Time Data ◽  
Automated Vehicle ◽  
Vehicle To Vehicle ◽  
Wide Range

<span>The field of automated vehicle technology is developing rapidly developing. While it is likely to be many years before self-driving cars are commercially viable and used in a wide range of conditions by the general public, technological advances are speeding along the automated technology continuum towards this destination. Automated vehicle technologies troth with significant social benefits such as reduced injuries and deaths, increased road efficiency, mobility. Automated vehicles can improve traffic safety, balance traffic flows, maximize road usage by offering driver warnings and/or assuming vehicle control in dangerous situations, as well as provide motorists with the best end-to-end transportation experience and reduce emissions, which are the most important goals of modern smart traffic control infrastructures. Exchanging data and integration of such systems with Vehicle-to-Vehicle (V2V) may be a keystone to successful readying of vehicular ad-hoc networks (VANETs) and will simply be the following step of this evolution, with dynamic period of time data exchange between all the players of the traffic dominant system and fostering cooperative urban quality. One of the applications of this concept is to provide vehicles and roads with the ability to make road time more enjoyable and also to make roads safer. These applications are typical examples of what an Intelligent Transportation System (ITS) is called, whose objective is to improve security by using new information and communication technologies (NTIC). In this paper, we will focus on the study of the main component in ITS systems and present a review of the major V2V benefits related to driver safety by focusing primarily on the recent developments of these systems.</span>

scholarly journals A Comprehensive Survey on VANET Security Services in Traffic Management System

2019 ◽  
Vol 2019 ◽  
pp. 1-23 ◽  
Author(s):  
Muhammad Sameer Sheikh ◽  
Jun Liang
Keyword(s):  
Ad Hoc Networks ◽  
Traffic Management ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Malicious Nodes ◽  
Research Areas ◽  
Authentication Schemes ◽  
Hoc Networks

Recently, vehicular ad hoc networks (VANETs) embark a great deal of attention in the area of wireless and communication technology and are becoming one of the prominent research areas in the intelligent transportation system (ITS) because they provide safety and precautionary measures to the drivers and passengers, respectively. VANETs are quite different from the mobile ad hoc networks (MANETs) in terms of characteristics, challenges, system architecture, and their application. In this paper, we summarize the recent state-of-the-art methods of VANETs by discussing their architecture, security, and challenges. Secondly, we discuss the detailed analysis of security schemes and the possible measures to provide secure communication in VANETs. Then, we comprehensively cover the authentication schemes, which is able to protect the vehicular network from malicious nodes and fake messages. Thus, it provides security in VANETs. Thirdly, we cover the mobility and network simulators, as well as other simulation tools, followed by the performance of authentication schemes. Finally, we discuss the comfort and safety applications of VANETs. In sum, this paper comprehensively covers the entire VANET system and its applications by filling the gaps of existing surveys and incorporating the latest trends in VANETs.

scholarly journals Practical Homomorphic Authentication in Cloud-Assisted VANETs with Blockchain-Based Healthcare Monitoring for Pandemic Control

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1683
Author(s):  
Haowen Tan ◽  
Pankoo Kim ◽  
Ilyong Chung
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Homomorphic Encryption ◽  
Security Analysis ◽  
High Mobility ◽  
Transportation System ◽  
Performance Comparison ◽  
Driving Experience ◽  
Healthcare Monitoring

Currently, the outbreak of COVID-19 pandemic has caused catastrophic effect on every aspect of our lives, globally. The entire human race of all countries and regions has suffered devastating losses. With its high infectiousness and mortality rate, it is of great significance to carry out effective precautions and prevention of COVID-19. Specifically, the transportation system has been confirmed as one of the crucial spreading routes. Hence, enhancing healthcare monitoring and infection tracking for high-mobility transportation system is infeasible for pandemic control. Meanwhile, due to the promising advantages in the emerging intelligent transportation system (ITS), vehicular ad hoc networks (VANETs) is able to collect and process relevant vehicular data for improving the driving experience and road safety, which provide a way for non-contact automatic healthcare monitoring. Furthermore, the proliferating cloud computing and blockchain techniques enable sufficient processing and storing capabilities, along with decentralized remote auditing towards heterogenous vehicular data. In this case, the automated infection tracking for pandemic control could be achieved accordingly. For the above consideration, in this paper we develop a practical homomorphic authentication scheme for cloud-assisted VANETs, where the healthcare monitoring for all involving passengers is provided. Notably, the integrated cloud-assisted VANET infrastructure is utilized, where the hybrid medical data acquisition module is attached. In this way, timely, non-contact measurement on all passengers’ physical status can be remotely done by vehicular cloud (VC), which could also drastically improve the efficiency and guarantee safety. Vulnerabilities of the employed dedicated-short-range-communication (DSRC) technique could be properly addressed with the applied homomorphic encryption design. Additionally, the decentralized blockchain-based vehicle recording mechanism is cooperatively performed by VC and edge units. Infection tracking on specific vehicle and individual can be offered in this way. Each signature sequence is collaboratively maintained and verified by the current roadside unit (RSU) and its neighbor RSUs. The security analysis demonstrates that the proposed scheme is secure against major attacks, while the performance comparison with the state-of-the-arts relevant methods are presented for efficiency discussion.

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