Traffic -- And lots of it! It is the dream of every netrepreneur. After all, without steady stream of visitors -- or should I say "potential customers" to your web site, how will you earn your e-fortune?

This article describes a set of procedures, also known as search engine optimization (SEO), which helps web pages to obtain better positions in search engine's search pages. Easy to implement it. And best of all, it is free.

Take The Guesswork Out Of Writing Articles

Harness the power of a site that gets billions of visitors and make sure those visitors come to you!

Monica Deller, an Amazon Bestselling author, hopes to bring more awareness to the issue of human trafficking and is compiling stories for a new book series on human trafficking and related subjects.

New partnership brings TrafficLand real-time roadway video to Harman's connected car Ignite Platform

Ribbon Cutting Ceremony Launches First Community for Sex Trafficking Survivors

Sex Trafficking Survivors in North Texas Find Individualized Care in a Safe Haven

Green Graphene announces a patent pending system from three years of research

Arizona's legislature is considering a number of distracted driving bills.

As teen driver fatalities increase, legislators in West Virginia have proposed drug testing laws for new teen drivers.

Mr. Ticket, traffic ticket attorneys, offers complimentary consultations for red light tickets to drivers in Los Angeles County and all over California.

Restaurant Brand on the Rise Adds Strategic, Revenue Generating Expertise

2019 Figures Trending Higher than Category Average and QSR Industry as a Whole

Actress and Reality TV Star Tiffany Panhilason Hosts A Powerful Yoga Session For Mentari USA's Human Trafficking Survivor Empowerment Program

Actress and Reality TV Star Tiffany Panhilason Hosts Thanksgiving Meal For Mentari USA's Human Trafficking Survivors

We're here to help.

SmartyAds are teaming up with Protected Media within SmartHub, a white-label ad network to combat ad fraud.

Monica Deller, an Amazon Bestselling author, hopes to bring more awareness to the issue of human trafficking and is compiling stories for a new book series on human trafficking and related subjects.

The initiative features a revolutionary 3-day workshop designed to help organizations break down barriers, locate and advocate for victims, and deter demand.

This Office is now closed - Live traffic updates will resume Monday 11th May 2020 

Normal hours of operation are 07.00 – 21.00 Mon to Fri and 09.00 – 17.00 Saturdays.

Roads Related Emergency News is updated 24/7 as necessary – and will appear here on the TrafficwatchNI website and @TrafficwatchNI on Twitter

Former President of Venezuela Nicolás Maduro Moros, Venezuela’s vice president for the economy, Venezuela’s Minister of Defense, and Venezuela’s Chief Supreme Court Justice are among those charged in New York City; Washington, DC; and Miami, along with current and former Venezuelan government officials as well as two Fuerzas Armadas Revolucionarias de Colombia (FARC) leaders, announced U.S. Attorney General William P. Barr, U.S. Attorney Geoffrey S. Berman of the Southern District of New York, U.S. Attorney Ariana Fajardo Orshan of the Southern District of Florida, Assistant Attorney General Brian A. Benczkowski of the Justice Department’s Criminal Division, Acting Administrator Uttam Dhillon of the U.S. Drug Enforcement Administration (DEA) and Acting Executive Associate Director Alysa D. Erichs of U.S. Immigration and Customs Enforcement’s Homeland Security Investigations (HSI).

Snow continued into early Wednesday morning with a dusting to 1 inch around Baltimore, and higher amounts northwest of Baltimore City.

The Hanover Street Bridge will be closed this weekend. Part of Greene Street in the downtown area will be closed on Saturday. There are new traffic patterns on I-83 Southbound in Timonium and on I-95 in Bel Air. Mid-day work continues on I-97 in Crownsville and on MD 295 in Westport. The Southbound Harbor Tunnel on I-895 remains closed for long term work.

The Hanover Street Bridge will be closed this weekend. Part of Greene Street in the downtown area will be closed on Saturday. There are new traffic patterns on I-83 Southbound in Timonium and on I-95 in Bel Air. Mid-day work continues on I-97 in Crownsville and on MD 295 in Westport. The Southbound Harbor Tunnel on I-895 remains closed for long term work.

On Monday, March 27, Grand Canyon National Park will begin daily closures of the North Kaibab Trail at Redwall Bridge to remove debris from a storm-caused rockslide. During this time, rim-to-rim travel will be restricted. https://www.nps.gov/grca/learn/news/north-kaibab-ribbons-falls-temporary-closures.htm

This week, Grand Canyon National Park trail crew was able to repair a section of the Colorado River Trail damaged by a rockslide. The trail between Pipe Creek and Silver Bridge is now open to foot traffic and remains closed to stock use. https://www.nps.gov/grca/learn/news/river-trail-open-to-hikers.htm

The Kaibab Suspension Bridge, also called the Black Bridge, will close to foot traffic while trail crews replace wood decking and tread boards. https://www.nps.gov/grca/learn/news/repairs-close-black-bridge.htm

On Tuesday, June 4 and Wednesday, June 5 staff from the Division of Science and Resource Management (SRM) will be applying herbicide to the traffic islands on South Entrance and Yavapai Roads to remove grasses that attract elk in these congested areas of the Grand Canyon Village. The intent of the removal is to minimize conflicts between wildlife (elk) and both visitors and residents along the road corridors. https://www.nps.gov/grca/learn/news/south-entrance-and-yavapai-herbicide-use.htm

Pipe installation of the Grand Canyon North Rim waterline will result in the closure of the Lodge entry road by the Grand Canyon North Rim Visitor Center Sept. 3 to 26, 2019. Expect commercial traffic detours to the Grand Canyon North Rim Lodge and decreased parking opportunities. https://www.nps.gov/grca/learn/news/grand-canyon-national-park-north-rim-traffic-detours-08-30-2019.htm

ON TIME TRAFFIC NETWORK's COMMANDER CHUCK JOHNSON is now heard on NORTH MISSISSIPPI RADIO GROUP's stations, Classic Hits WOWW-A-W249BN (97.7 GUESS FM), Country WEBL (95.3 THE REBEL), … more

The business world has changed over the years and you’ll need to rely on digital methods of marketing your brand to succeed. One of the best ways to do that is through search engine optimization (SEO) to get better traffic for your business. When you use the right techniques and strategies, you can double your organic traffic.  If you’re in the business of helping people with their search engine optimization needs, here are some of the best ways to double your client’s organic traffic. Help Clients Work On Their Content You need to teach and advise your clients on how

The post Search Engine Optimization – How to Double Your Client’s Organic Traffic appeared first on Photoshop Lady.

I am a longtime resident of Johnson County, currently in my 25th year of law enforcement. I worked for the Coralville Police Department in the late 1990’s and transferred to the Cedar Rapids Police Department in 1999 where I am a sergeant of the patrol division. I have degrees in criminal justice and organizational leadership and have advanced leadership training from Northwestern University in the School of Police Staff and Command.

Working in the second-largest city in the state has offered me many opportunities to lead. I have taught in the police academy and defensive tactics and as a field training instructor. I was the director of the Eastern Iowa Heroin Initiative, where I founded CRUSH of Iowa (Community Resources United to Stop Heroin). CRUSH is a community-based, grassroots organization helping all those affected by substance abuse disorder.

My passion has been community outreach. Currently I am a member of the Johnson County Human Trafficking Coalition and the Johnson County Prevention Partnership. Through these partnerships I will create a criminal interdiction team to fight the trafficking of humans, weapons and narcotics.

As sheriff, my top three concerns are substance abuse, mental health and human trafficking. I believe in creating long-lasting relationships with the community. I believe in common sense solutions without the haze of political bias. I believe that every citizen has a voice and should be heard. I believe in building a proactive and progressive law enforcement agency that serves with professionalism, compassion and dedication to the citizens. I believe we need to place the community back into community policing.

I am ready to be sheriff of Johnson County. I am a proven leader who is determined to build bridges with the citizens of the county and lead with accountability, trust and transparency. I will fight for all of Johnson County as sheriff because I have done so all of my life. This election is not just about me, it is about us. We, together, will make a positive impact on Johnson County. The status quo is not working. It’s time for change!

I would love to have your vote on June 2. We work better when we work together. People before politics!

Al Fear is a candidate in the Democratic primary for Johnson County sheriff. alfearforsheriff.com

It’s that time of year when Spoon Graphics gets a little older, with 2020 marking 13 years of tutorial creating, freebie sharing and article writing on what started as a blog that was attached to my portfolio website in 2007. Every April I take some time to reflect on the past 12 months and talk […]

The post Spoon Graphics Turns 13 Years Old — Traffic Down, Subscribers Up! appeared first on Spoon Graphics.

Traffic signs are essential map features globally in the era of autonomous driving and smart cities. To develop accurate and robust algorithms for traffic sign detection and classification, a large-scale and diverse benchmark dataset is required. In this paper, we introduce a traffic sign benchmark dataset of 100K street-level images around the world that encapsulates diverse scenes, wide coverage of geographical locations, and varying weather and lighting conditions and covers more than 300 manually annotated traffic sign classes. The dataset includes 52K images that are fully annotated and 48K images that are partially annotated. This is the largest and the most diverse traffic sign dataset consisting of images from all over world with fine-grained annotations of traffic sign classes. We have run extensive experiments to establish strong baselines for both the detection and the classification tasks. In addition, we have verified that the diversity of this dataset enables effective transfer learning for existing large-scale benchmark datasets on traffic sign detection and classification. The dataset is freely available for academic research: https://www.mapillary.com/dataset/trafficsign.

XSS is a security vulnerability that permits injecting malicious code into the client side of a web application. In the simplest situations, XSS vulnerabilities arise when a web application includes the user input in the web output without due sanitization. Such simple XSS vulnerabilities can be detected fairly reliably with blackbox scanners, which inject malicious payload into sensitive parts of HTTP requests and look for the reflected values in the web output.

Contemporary blackbox scanners are not effective against stored XSS vulnerabilities, where the malicious payload in an HTTP response originates from the database storage of the web application, rather than from the associated HTTP request. Similarly, many blackbox scanners do not systematically handle context-sensitive XSS vulnerabilities, where the user input is included in the web output after a transformation that prevents the scanner from recognizing the original value, but does not sanitize the value sufficiently. Among the combination of two basic data sources (stored vs reflected) and two basic vulnerability patterns (context sensitive vs not so), only one is therefore tested systematically by state-of-the-art blackbox scanners.

Our work focuses on systematic coverage of the three remaining combinations. We present a graybox mechanism that extends a general purpose database to cooperate with our XSS scanner, reporting and injecting the test inputs at the boundary between the database and the web application. Furthermore, we design a mechanism for identifying the injected inputs in the web output even after encoding by the web application, and check whether the encoding sanitizes the injected inputs correctly in the respective browser context. We evaluate our approach on eight mature and technologically diverse web applications, discovering previously unknown and exploitable XSS flaws in each of those applications.

This work addresses the problem of traffic management at and near an isolated un-signalized intersection for autonomous and networked vehicles through coordinated optimization of their trajectories. We decompose the trajectory of each vehicle into two phases: the provisional phase and the coordinated phase. A vehicle, upon entering the region of interest, initially operates in the provisional phase, in which the vehicle is allowed to optimize its trajectory but is constrained to guarantee in-lane safety and to not enter the intersection. Periodically, all the vehicles in their provisional phase switch to their coordinated phase, which is obtained by coordinated optimization of the schedule of the vehicles' intersection usage as well as their trajectories. For the coordinated phase, we propose a data-driven solution, in which the intersection usage order is obtained through a data-driven online "classification" and the trajectories are computed sequentially. This approach is computationally very efficient and does not compromise much on optimality. Moreover, it also allows for incorporation of "macro" information such as traffic arrival rates into the solution. We also discuss a distributed implementation of this proposed data-driven sequential algorithm. Finally, we compare the proposed algorithm and its two variants against traditional methods of intersection management and against some existing results in the literature by micro-simulations.

A system and method that facilitates urban traffic state detection based on support vector machine (SVM) and multilayer perceptron (MLP) classifiers is provided. Moreover, the SVM and MLP classifiers are fused into a cascaded two-tier classifier that improves the accuracy of the traffic state classification. To further improve the accuracy, the cascaded two-tier classifier (e.g., MLP-SVM), a single SVM classifier and a single MLP classifier are fused to determine a final decision for a traffic state. In addition, fusion strategies are employed during training and implementation phases to compensate for data acquisition and classification errors caused by noise and/or outliers.

There is a provided a method for car navigating using traffic signal data. The method for car navigating is characterized of providing an optimized route for the earliest arrival to destinations by using signal system data of one or more traffic signals existing on a certain route.

A system and method are disclosed for transporting deterministic traffic in a gigabit passive optical network. A system that incorporates teachings of the present disclosure may include, for example, an Optical Line Termination (OLT) for exchanging data traffic in a Gigabit Passive Optical Network (GPON) having a controller programmed to generate a timeslot schedule for transport of a desired bandwidth of constant bit rate (CBR) data traffic by selecting one or more timeslots from periodic frame clusters operating according to a GPON Transmission Convergence (GTC) protocol. Additional embodiments are disclosed.

The disclosure discloses an apparatus and method for rerouting multiple traffics. The apparatus includes a path computation unit and a traffic path incorporation unit, the path computation unit forwards a received uniform route computation notification message including multiple pieces of failed traffic connection information to the traffic path incorporation unit, and also forwards a route inquiry request transmitted from the head node of the fault traffic to the traffic path incorporation unit; the traffic path incorporation unit analyzes and detects the failed traffic connection information according to traffic incorporating and route inquiry statistic algorithm, and uniformly obtains and records the recovery route information from the path computation unit; when receiving the route inquiry request forwarded by the path computation unit, the traffic path incorporation unit is further configured to search the record according to the route inquiry request, and return the found corresponding recovery route information to the head node which requests the recovery through the path computation unit. The disclosure uses a incorporating and uniform route inquiry method, the resource loss of the path computation unit is reduced, and the efficiency of link restoration is improved.

A system for converting an existing traffic intersection into an intersection having a roundabout traffic control feature includes a center island framework, one or more splitter island frameworks, and one or more diverter frameworks. The frameworks are secured to the road surface, and fill material is added to free spaces defined in the frameworks to thereby form a center island, one or more splitter islands, and one or more diverters. The system allows a roundabout to be implemented into an existing intersection on a temporary or semi-permanent basis, in a minimal amount of time and without requiring significant construction at the site of the intersection.

A method and a playback control device are provided. The method, performed by the playback control device, includes: receiving a first request to playback a first data of a first wireless multimedia data type having a first priority; and playing back the first data if no other data of a wireless multimedia data type having a priority higher than the first priority is received.

An improved traffic sign is discussed. The traffic sign includes road reflectors, which reflect available light towards a driver indicating road lane divisions. A sensor module coupled with a vehicle can convert the reflected light to a binary word. The sensor module can further convert the binary word into traffic information, wherein a vehicle-mounted display displays information selected from received traffic information based on priority, time of receipt, and relevance. The improved traffic sign can also include an RFID tag configured to transmit traffic information to a vehicle-mounted receiver.

Reinforcement devices and systems for holding a traffic control assembly in compression are provided. The traffic control assembly includes a traffic signal disconnect hanger and/or a traffic signal and a first span wire positioned above the traffic control assembly. In some embodiments, the reinforcement device includes an upper support device connected to the first span wire where the upper support device has a length that is greater than a width of the traffic control assembly and the upper support device is configured to spread the load of the traffic signal assembly to the first span wire. The reinforcement device includes a lower support device operably connected to the traffic signal, a first vertical support member, and a second vertical support member where the first and second vertical members are tensioned when the upper support device, the lower support device and the first and second vertical support members are connected together.

Gesture based interaction with traffic data is disclosed. A virtual broadcast presentation may be generated based on dynamic information such as traffic information, weather information, or other information that may be featured on a virtual broadcast presentation. A gesture made by a user is detected and processed to determine an input command associated with the detected gesture. The virtual broadcast presentation may be manipulated based on the input command.

Aspects of the present disclosure include a navigation system and computer-implemented methods for proactively re-routing vehicles to control traffic flow. Consistent with some embodiments, the navigation system seeks to reduce traffic flow along primary navigation routes (e.g., routes with relatively short travel times) by re-routing vehicles to alternative navigation routes (e.g., routes with relatively longer travel times) using incentives. As an example, upon detecting a vehicle traveling along an alternative route instead of a primary route, the navigation system updates a data structure that represents a user account of a vehicle occupant to reflect an increased account balance. Consistent with some embodiments, the amount of value provided to an occupant of a vehicle traveling along an alternative routes may be obtained from user accounts of occupants of other vehicles that are traveling along a primary route.

A method is provided for traffic lane and traffic signal control identification and traffic flow management. Methods may identify traffic lights controlling lane movements, cataloging the information through analysis of traffic light signal phase and timing, and analyzing traffic movement through an intersection during specific periods of time. In particular, example methods may include identifying each of a plurality of paths through an intersection; identifying states of one or more traffic lights controlling traffic through the intersection; determining vehicle throughput data for the intersection through a predetermined number of cycles of the one or more traffic lights; and matching the vehicle throughput data to each of the plurality of paths of the intersection. The method may optionally include identifying times of movement and times of non-movement of vehicles across the intersection for each of the plurality of paths.

Aspects of the present disclosure include a navigation system and computer-implemented methods for detecting traffic disruption events based on an analysis of input component data obtained from navigation-enabled devices of vehicles near a particular location. Traffic disruption events are events such as accidents, construction road closures, police and speed traps, or road hazards that cause a decrease in the flow of traffic along a particular route and thus, added time delays for occupants of vehicles traveling along those routes. The navigation system scores the input component data associated with each vehicle and aggregates the scored input component data to obtain a frustration score associated with the vehicle. The navigation system may detect traffic disruption events based on a number of vehicles near a particular area having associated frustration scores above a certain threshold.