An Efficient Pairing-free Batch Verification Scheme for VANET

2021 ◽  
Author(s):  
Yan-Ming Lai ◽  
Pu-Jen Cheng
Keyword(s):  
Traffic Safety ◽  
Bilinear Pairing ◽  
Traffic Volume ◽  
Traffic Information ◽  
Batch Verification ◽  
Calculation Time ◽  
Verification Scheme ◽  
Traffic System ◽  
Intelligent Traffic System ◽  
Pass Through

Abstract An intelligent traffic system, which can flexibly allocate traffic resources, serves as a good assistant to help us improve traffic safety and efficiency of controlling traffic volume, providing instant traffic information and giving priority to ambulances. Although such system is powerful, it could be misused without prop er protection. For example, malicious drivers might forge the message of the ambulance so that they can quickly pass through intersections. In addition, because traffic information is huge and needs to be processed immediately, traditional schemes that pro cess the information one by one are not competent. For this issue, a lot of batch schemes have been proposed. Most of them adopt the algorithm of Bilinear pairing while the others tries to avoid it since pairing operations are complex. However, such pairin g - free schemes are not applicable because their calculation time will explode when there are more data waiting to be processed. In this article, we briefly describe those schemes and propose a more effective one to solve the problems mentioned above.

scholarly journals COVID Lockdowns, Social Distancing, and Fatal Car Crashes: More Deaths on Hobbesian Highways?

2020 ◽  
Vol 4 (3-4) ◽  
pp. 238-259 ◽  
Author(s):  
Marshall W. Meyer
Keyword(s):  
World War Ii ◽  
Traffic Safety ◽  
Motor Vehicle ◽  
Road Traffic ◽  
Research Question ◽  
Traffic Volume ◽  
Similar Data ◽  
World War ◽  
Social Distancing ◽  
The Usa

Abstract Research Question What happened to US traffic safety during the first US COVID-19 lockdown, and why was the pattern the opposite of that observed in previous sudden declines of traffic volume? Data National and local statistics on US traffic volume, traffic fatalities, injury accidents, speeding violations, running of stop signs, and other indicators of vehicular driving behavior, both in 2020 and in previous US economic recessions affecting the volume of road traffic. Methods Comparative analysis of the similarities and differences between the data for the COVID-19 lockdown in parts of the USA in March 2020 and similar data for the 2008–2009 global economic crisis, as well as other US cases of major reductions in traffic volume. Findings The volume of traffic contracted sharply once a COVID-19 national emergency was declared and most states issued stay-at-home orders, but motor vehicle fatality rates, injury accidents, and speeding violations went up, and remained elevated even as traffic began returning toward normal. This pattern does not fit post-World War II recessions where fatality rates declined with the volume of traffic nor does the 2020 pattern match the pattern during World War II when traffic dropped substantially with little change in motor vehicle fatality rates. Conclusions The findings are consistent with a theory of social distancing on highways undermining compliance with social norms, a social cost of COVID which, if not corrected, poses potential long-term increases in non-compliance and dangerous driving.

scholarly journals INVESTIGATION INTO TRAFFIC FLOWS ON HIGH INTENSITY STREETS OF VILNIUS CITY

Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 244-251 ◽  
Author(s):  
Laura Žiliūtė ◽  
Alfredas Laurinavičius ◽  
Audrius Vaitkus
Keyword(s):  
Traffic Safety ◽  
Traffic Volume ◽  
Capital City ◽  
State Enterprise ◽  
Traffic Intensity ◽  
Road Maintenance ◽  
Traffic Flows ◽  
The Road ◽  
Maintenance Program ◽  
Road Research Laboratory

The measurements and analysis of traffic intensity were performed in the capital city – Vilnius, the largest urban area in Lithuania. Vilnius is a centre of business, industry and tourism, and therefore traffic intensity remains the highest in this part of the country. The intensity of vehicle traffic is not only generally calculated but also simultaneously classified which means is divided predefining vehicles into beforehand established categories. Data on traffic flows are used in a road maintenance program for calculating and assessing air pollution, ensuring traffic safety, regulating traffic flows etc. The article presents the methods for measuring traffic intensity which are and were used for calculating traffic intensity not only in the streets of Vilnius but also across Lithuania. Data on vehicle intensity and classification are collected either using technologies (loop and tube detectors, counters and video detectors) or expressing them visually. The article presents the dynamics of changes in the traffic volume on the roads of Lithuania for the period 2000–2009. Also, this article examines traffic intensity of all transport means, including trucks in the permanent traffic volume measuring stations that were installed near the roads in Vilnius zone (data on traffic for the period 2005–2009) and the streets of Vilnius city (data on traffic for the period 2007–2009). Data on traffic intensity were obtained by the Road Research Laboratory of the Road Department of Vilnius Gediminas Technical University in cooperation with the State Enterprise Transport and Road Research Institute (TRRI).

scholarly journals A Smart Automobile for Intelligent Traffic System using VANET Protocols

2020 ◽  
Vol 8 (5) ◽  
pp. 223-230
Keyword(s):  
Routing Protocol ◽  
Automobile Industry ◽  
Routing Protocols ◽  
Road Safety ◽  
Ad Hoc ◽  
Traffic Density ◽  
Traffic System ◽  
Vehicle Communication ◽  
Advantages And Disadvantages ◽  
Intelligent Traffic System

The overall automobile industry in the world has encountered remarkable growth, vehicle increases traffic density which seems in increasing accidents. Thus the automobile Industries, researchers and government are shifted their focus in the direction of improving on-road safety instead of improving the condition of the roads. The top development in the wireless technologies emerged a diverse new sort of networks together with Vehicular Ad Hoc Network, VANET uses wireless network technology wherein driving gets safer by inter-vehicle communication. Using this technology, automobiles are not only envisioned to contact between each other, but also to get information from and transmit data to infrastructural units. In this, we have discussed about the traits and applications of VANET along with routing protocols. The routing protocols states how two communiqué individuals interchange information which covers the methods to generate path, to retain the route or improve from routing fiasco. In this we have explained two routing protocols i.e. Topology based routing protocol and Geographic (Position-based) routing protocol with its types, advantages and disadvantages as well as we have examined the performance of AODV and GPSR routing protocols using quality matrix.

scholarly journals A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing

2019 ◽  
Vol 6 (2) ◽  
pp. 1321-1330 ◽  
Author(s):  
Jingwei Liu ◽  
Huijuan Cao ◽  
Qingqing Li ◽  
Fanghui Cai ◽  
Xiaojiang Du ◽  
...  
Keyword(s):  
Large Scale ◽  
Batch Verification ◽  
Verification Scheme ◽  
Mobile Healthcare ◽  
Crowd Sensing

An Efficient Batch Verification Scheme for SM2 Signatures

2021 ◽  
Author(s):  
Dingning Liu ◽  
Yuyu Yuan ◽  
Tengfei Xue ◽  
Lei Chen
Keyword(s):  
Batch Verification ◽  
Verification Scheme

scholarly journals Evaluating the Traffic Capacity of the Zion–Mt. Carmel Tunnel in Zion National Park

2020 ◽  
Vol 2674 (1) ◽  
pp. 1-10
Author(s):  
Jonathan Upchurch
Keyword(s):  
National Parks ◽  
Traffic Engineering ◽  
National Park ◽  
Waiting Times ◽  
Current Method ◽  
Traffic Volume ◽  
Highway Capacity ◽  
Zion National Park ◽  
Data Collection And Analysis ◽  
Pass Through

Constructed in 1930 and recently designated as a National Historic Civil Engineering Landmark, the 1.1 mile long Zion–Mt. Carmel Tunnel has served Zion National Park in Utah well for several decades. With the passage of time, however, vehicles have become larger and this has necessitated the use of one-way operation to allow large vehicles to pass through the narrow tunnel. In recent years the number of visits to National Parks in the Colorado Plateau region has greatly increased. For example, visits to Zion National Park increased by 69% from 2010 to 2017. Accompanying the increase in visitor numbers has been an increase in traffic volume. As traffic volume has grown, two questions have become more obvious: What is the highway capacity of the Zion–Mt. Carmel Tunnel? And, how soon will the tunnel reach capacity? This paper covers a unique traffic engineering/highway capacity problem and describes: (a) the current method of operating the tunnel (both two-way and one-way operation); (b) data collection and analysis; (c) how one-way operation degrades tunnel capacity; (d) calculation of tunnel capacity and waiting times; (e) how soon the tunnel will reach capacity; and (f) alternatives for addressing the capacity problem.

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