Traffic navigation application

Features Hours
Smart Navigation System 260
Live Directions 200
Voice Recognition 70
Ability to Report about Traffic Issues 180
Authorization 70
Profiles 50
Social Networking Elements 60
Custom Design 140
Total Hours 1,030
Approximate costs 30,900$
Waze Clone Features estimated in hours
Traffic Navigation Application
Thus, the cost of building a
simple GPS app is:
•in Australia and the USA: $15500;
•in Great Britain and Western Europe:
$19500;
•in Eastern Europe: $7500;
•in India: $5700.
To make an app "like Waze" you need at least (1) map technology, (2) programmers, (3) servers, (4) time.
But why would you make an app like Waze? Waze already exists. You need to find a new niche. And if you have an idea to improve Waze,
contact them and see whether you can interest the company.
# 4: Custom Design
This is definitely the most
controversial part of the app. I
personally know a few people that
refused to use the app due to its
“childish” design. Yet, it’s also
pointlessly to argue that this is one
of the most memorable details as
well.

Make the Map of Your App Available in Offline Mode
The map is central to any mobile app intended for navigation purposes. There are several things you
must bear in mind while creating one for your navigation application.
First and foremost, you don’t want to leave your app’s users without any navigational support just when
they find themselves in some boondocks with erratic Internet coverage. Odds are this will happen
someday if the map of your navigation app has to be continuously downloaded from the Internet. It is
imperative that the map be implemented as part of the app and be made available in offline mode.
Secondly, it would be prudent to create a nocturnal version of the map: one with a black background
and white lettering, - something your audience would appreciate immensely.
Implement Location Identification and Related Relevant Search
You can help the user by identifying their current location and automatically displaying roads and
objects in their vicinity. It would also be a good idea to identify the user’s means of movement or enable
them to indicate whether they are riding a car, a bike or just walking in order to display more relevant
roads and objects.
To Make an App Like Waze, Make the GUI of Your Navigation App Truly User-Friendly
Navigation software is used in a variety of environments, situations and circumstances, the simplest
scenario being one-armed driving. Make the buttons and tabs of your app’s big enough for convenient
use in inconvenient situations.

Implement Background Mode
Your navigation app must be able to run in background mode and give voice recommendations to the
user whenever required in this mode. Don’t make your users miss turns and drive extra miles simply
because they enjoy listening to music while driving.
Implement Two Systems of Units
You may be surprised at how outlandish some of your everyday things may seem elsewhere. Someone
used to measuring distances in kilometers can really be at a loss when he or she is given
measurements in miles. Make sure you app supports both the Imperial and Metric systems of units.
Implement the Navigation Map With a Slant
A regular map may not be too convenient to use in a moving vehicle. A slanted map is, usually, a lot
more usable in this environment. It allows a better and more far-reaching view.

See If Artificial Intelligence (AI) Can Make Your Traffic Navigation Application Better
Just like in most verticals and technology areas, GPS-powered navigation is currently, undergoing an Artificial
Intelligence (AI) revolution. In order not to develop a product that would be outdated from day one, you must look
into the possibility of enhancing it with AI.
So how can Artificial Intelligence render a conventional navigation app more powerful and improve the app’s
performance?
There are several possible applications of AI in GPS navigation. With the help of the AI technology of Machine
Learning, it is possible to derive insights from the user’s previous experiences associated with various routes. This
information can then be used to train the application to offer guidance when the user is considering taking a similar
route.
Another great AI-driven feature to add is illustrating routes and, in particular, intersections with photos to help drivers
get their bearings.
Ultimately, AI will give your app conversational intelligence, as well as the ability to learn things on a massive scale
using the Web. As part of your navigation app, an AI-enabled virtual assistant will promptly answer the user’s
questions. In so doing, it will rely on a wealth of information which it has gathered from the Web and which no human
knowledge holder can rival.

FEATURES OF WAVE
•User-driven interface
To Build a Navigation App Like Waze offer extremely instinctive design to effortlessly connect with user. The app
features well details and efficiently designed structure. While minimalistic approach in building design elements
make it really easy for users to communicate with the app.
•Real-time updates
Waze allows you to get real-time updates on traffic. These updates are combined with crowd sourced information
which further enriches the quality and intensity of the updates through which you can find easiest ways to transit
and optimally reach your destination.
HOW WAZE MAKES MONEY?
When you are aiming to develop an app like Waze you primarily mean to do some business that earns you real money. Yeah?!
And that you cannot do without monetizing your app. If we talk about Waze, they are primarily dependent on earnings through
location-based advertising. And the first season itself went really prolific for them as they made about $1 million by the end of
the year in which they launched the service. They get advertisements from various small businesses putting their trade
details/address/information on the map and allow them different pricing options on a monthly basis. These locations are
visible with ads to the users who are searching for the place or looking to drive through it. Now, this gets even better when
the system depicts the starting location and the destination and shows relevant ads of the businesses that fall in that route.

HOW WAZE MAKES MONEY?
When you are aiming to develop an app like Waze you primarily mean to do some business
that earns you real money. Yeah?! And that you cannot do without monetizing your app. If we
talk about Waze, they are primarily dependent on earnings through location-based
advertising. And the first season itself went really prolific for them as they made about $1
million by the end of the year in which they launched the service.
They get advertisements from various small businesses putting their trade
details/address/information on the map and allow them different pricing options on a
monthly basis. These locations are visible with ads to the users who are searching for the
place or looking to drive through it. Now, this gets even better when the system depicts the
starting location and the destination and shows relevant ads of the businesses that fall in that
route.

HOW MUCH DOES IT COST TO BUILD AN APP LIKE WAZE?
To Build a Navigation App Like Waze is very difficult task. Well, to get to the estimates, we first need to
determine and analyze the elementary requirements and basic expenses. So, the first of the requisites is to
decide whether you would go with a native app or will it be cross-platform app development.
Here, the suggestion is to go with native app development as it allows you to achieve better quality and in the
long run proves beneficial with scope to easily scale up and with better choices in terms of security. Go with all
the essential functionalities and include all the complementing features that allow it to offer a complete
navigation service without going with all those bells and whistles and without going overboard with strident
features achieving the core of the idea and achieving what Waze does essentially. With all that, it should cost
you about $30k at least.

Intelligent Machines
Social Surveillance Yields Smarter Directions
Phone app Waze uses real-time information shared by drivers to tweak its directions and traffic advice.
Most drivers will be familiar with the feeling that trying a slightly different route, or leaving a few minutes later,
would have saved them time in traffic, and some may have tweaked a familiar route to test the notion. A free
navigation app for smart phones called Waze performs such experiments at a grand scale by treating its users as
road-going data probes
Waze users automatically broadcast their GPS position and speed to Waze over the Web at all times. Social-
networking and gaming features built into the app also encourage them to actively share information such as the
location of hazards and traffic jams. When a user asks the app for directions, those sources of information
influence Waze’s routing algorithm. Users can see the position and speed of other users on a map, and also
receive live hazard reports. The data collected by the app is used to refine Waze’s map in other ways, showing, for
example, the location of unmapped streets.
Collective intelligence: Users of the navigation app Waze can
report hazards on the road ahead. Their GPS positions are also
automatically tracked to provide real-time traffic information

Waze awards points to drivers for miles driven with the app running, and also for submitting hazard
reports. Making a report while driving, to indicate problems such as traffic jams, speed traps, or
accidents, requires just three taps on the phone. Users can also create and join groups to follow
reports from people who drive a particular route or area, or compete with friends to rack up the most
points.
Those points do more than just make users feel good, says Di-Ann Eisnor, vice president and
community geographer at Waze. “We use it as a confidence score for the contributions that user
makes,” says Eisnor. A report of a traffic jam from a low-ranked user is less likely to change the route
suggested by Waze than one from a high-ranked user, for example.
Awards PRIZE from awarding points EACH MONTH
“Unlike other apps, Waze is used a lot even when people don’t need to be told when to go, like for commuting,”
Eisnor says. About 70 percent of trips made with Waze do not involve asking it for directions. Instead people leave it
running on their phone to see real time traffic data, receive warnings of hazards reported by others and contribute
themselves to the community.

The southwest-Florida TV station NBC-2 has created a Waze group for local commuters, and it now bases its
reports exclusively on information and maps drawn from that community and other Waze users in the area. “They
found that information from Waze was as good—and even better than—the paid-for traffic data they used before,”
says Eisnor.
To encourage users to probe conditions in uncharted areas and thus extend Waze’s coverage, the company
employs a game-like feature: icons dubbed “road goodies” placed on the map. Users earn points for driving over
the virtual goodies, and often diverge from their route to do so, says Eisnor.
Mikel Maron, a developer and member of the board of Open Street Map, a collaborative project working to build a
free, editable online map of the globe, says he can understand why users might be willing to change their route to
gather data that helps others. Some of the data collected by Open Street Map is used by Microsoft’s Bing Maps
service.
“I know that once people start mapping in Open Street Map, it becomes a kind of addiction. You really want to
help fill in the white spaces,” says Maron. “I imagine that is perhaps how someone would feel about helping
others by improving Waze’s coverage.” However, he says some people may reconsider when it becomes clear
that Waze seeks to make money using their data.

One revenue strategy under development at the company involves placing virtual coupons or discounts on the road
for collection. “We’re currently experimenting to see what influences behavior and find out what incentives work,”
says Eisnor. “We’ve been surprised by what the threshold is.” Waze’s advertising platform launched in Israel two
months ago. A recent trial in San Francisco awarded free concert tickets to the user who drove over the most
promotional goodies.
Eisnor says that saving money can coexist alongside more altruistic motivations like helping to cut travel
frustrations. “In time, I want to answer the question of whether we can reduce congestion based on coupons at
Starbucks,” she says.
Bayer says he thinks that advertising and fixing traffic jams could go together. “I think it would be possible in future
to use personalized incentives to try and decongest freeways by altering drivers’ routes,” says Bayer, “the driver
and promoter might get something out of it but there can also be a public good.”

Microsoft Taps AI to Outsmart Traffic
Microsoft on Thursday unveiled a predictive traffic system that combines historical traffic data with
real-time updates from GPS-enabled devices in order to build real-time maps for drivers.
The services, which runs on the Live.com platform, grew out of research by Eric Horvitz,
who has been working on the project for four years.
The ClearFlow system is the result of Microsoft's application of machine learning and
intelligence as it's applied to the daily life of people. The new traffic application combines
previously acquired data from 71 cities with contextual information about the area to
formulate a forecast about likely traffic patterns.
It kicks in mainly when there's a real-time problem, such as an accident on the freeway, and
predicts the behavior of traffic elsewhere -- such as surface streets -- because of that
problem, suggesting routes that won't send you into even more traffic.

Surprise Monitoring
The software, which is based upon the JamBayes predictive traffic service, allows users to set the
types of alerts -- and the level of prediction -- they receive.
"In operation, the surprise modeling and analysis is used to let people know when current or projected
flows (both high and low) on routes that they have expressed interest in would likely surprise them,"
Microsoft Research's Eric Horvitz writes in "Machine Learning, Reasoning, and Intelligence in Daily
Life: Directions and Challenges," a research paper examining artificial intelligence and Microsoft
computing.
Microsoft's service can be accessed online or through any Internet-connected mobile device.

Tracking Traffic
Predictive traffic maps are becoming more usable because GPS-enabled devices are near
ubiquitous. Inrix, which was spun out of Microsoft Research Labs and has a network of 800,000
GPS-enabled devices, gathers data for TomTom and Dash, two in-car traffic and direction services,
as well as MapQuest.com.
Pulling together all of that information isn't easy, though. The real-time, two-way communication
from car to navigation system creates a complex data set that can be used to parse out specific
traffic patterns.
Inrix, for instance, gathers data mainly through partnerships with commercial drivers -- long-haul
truckers, taxi cabs, delivery services and cable companies -- along with embedded road sensors,
Scott Sedlik, Inrix's marketing vice president, told TechNewsWorld.
The company then combines that with profile information about each vehicle -- cement
trucks travel slower than taxi drivers, for example -- to build a predictive traffic model for
an area.

Emerging Patterns
These devices aren't just for traffic, however.
Microsoft's foray into the traffic market and other two-way navigation systems such as Dash
Navigation will soon be able to provide a Web-like experience for users.
By the end of the year, the real-time traffic navigation systems will include other relevant data such as
restaurant locations, hotels and businesses near a user's location, Sedlik said.
That's exactly the functionality that is starting to come to market now with devices like Dash," Sedlik
said. "Some will have information delivered by voice like OnStar and some will be delivered on a screen i
the car.

Here’s How Artificial Intelligence Will Change The Way You Navigate

Here’s How Artificial Intelligence Will Change The Way You Navigate
Artificial intelligence (AI) is the next big thing in the world of technology. Taking on many industries, AI is
aimed lowering human intervention in processes by using machines that are designed and programmed to
perform tasks that normally require human intelligence, including, visual perception, speech recognition,
learning, reasoning, decision-making, and even, translation between languages. Machines doing such
tasks are known to lower what we know as ‘human error’ and give more accurate results.
This technology is now going to ease what in today’s time is known to cost economies billions – traffic
congestion. According to reports, traffic congestion cost the US economy a whopping $121 billion every
year. In Indian capital, Delhi, this number stood at $10 billion in early 2017, a study by IIT Madras shows.
This is on the account of fuel wastage due to the idling of vehicles, productivity loss due to people being
stuck on their way to work, air pollution and road crashes.
To help lower this cost for the national capital, AI-based traffic systems will be introduced that will ease navigation
by providing real-time information, alternate routes, among others. To pave the way for Delhi Police’s decade-old
proposal, intelligent traffic management system (ITMS), the Ministry of Home Affairs has given its approval to
appoint an international consultant for the implementation.
The proposed system promotes the use of AI to manage traffic and an array of sensors to detect violators.
While the Delhi Police have already begun the task of selecting the consultant, the project will be implemented in
three phases with the first being completed in 2019.

New AI Algorithm Beats Even the World's Worst Traffic
To this end, computer scientists at Nanyang Technological University in Singapore have developed a
new intelligent routing algorithm that attempts to minimize the occurrence of spontaneous traffic jams—
those sudden snarls caused by greedy merges and other isolated disruptions—throughout a roadway
network. It's both computationally distributed and fast, requirements for any real-world traffic
management system. Their work is described in the April issue of IEEE Transactions on Emerging
Topics in Computational Intelligence.
Route-finding is a natural branch of computer science. What we're really talking about is graph theory, a
field that's been kicking out algorithms since well before electronic computers even existed. The
problem is that routing algorithms can be extraordinarily complex for even small numbers of possible
paths and small numbers of actors. Traffic, however, deals with a whole lot of routes and a whole lot of
cars (and other "agents," such as traffic lights).

New AI Algorithm Beats Even the World's Worst Traffic
The Nanyang researchers' algorithm starts off by just assuming that, given enough traffic density, shit is going to
happen. Someone is going to make a greedy merge—something is going to cause enough of a
traffic perturbation to result in a network breakdown. Breakdown in this context is a technical-ish term indicating
that for some period of time the traffic outflow from a segment of roadway is going to be less than the traffic
inflow.
"We assume that the traffic breakdown model has already been given, and the probability of traffic breakdown
occurrence is larger than zero (meaning that traffic breakdowns would occur), and our goal is to direct the traffic
flow so that the overall traffic breakdown probability is minimized," Hongliang Guo and colleagues write. Put
differently, "our objective is to maximize the probability that none of the network links encounters a traffic
breakdown."
So, the goal of the algorithm is this maximization, which reduces to a fairly tidy equation. It then becomes a
machine learning problem. Things get pretty messy at this point, but just understand that we're taking the current
traffic load, adding an unknown additional load that might enter the network at any time, and then coming up with
probabilities of network breakdown at each of the network's nodes or intersections. Crunch some linear
algebra and we wind up with optimal routes through the network.

Traffic navigation application

More Related Content

What's hot (12)

Similar to Traffic navigation application (20)

More from Ibrahim Khleifat (20)

Recently uploaded (20)

Traffic navigation application