1.smart transportation 2 (3).pptx

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Presented by :--
Jitendra kumar (211502) &
Navin kumar (211505)
Vishal kumar(211517)
Md Mahfooz Alam(211516)
SUBMITTED TO:--
Dr. Ritula Thakur
Associate professor
Department of
Electrical Engineering
NITTTR Chandigarh

Contents
 Introduction
 Defination
 Architecture of STS
 Smart Transportation
 Real TimeInformation Systems
 Traffic Information
 Management
 Remote Sensing & GIS Technologies

 Lack of quality and safe public transportation,
 Inadequate capacity of public transportation,
 Road safety concerns
 Overcrowded road network
 Poor traffic management
 Parking issues
 Theft of vehicles
 Poor road conditions
 Lack of modal options (including pedestrian walkways)
Most cities also lack the integrated transportation plans leading to huge demand-
supply gap and poor transportation network.
KEY ISSUES IN PRESENT TRANSPORTATION

 Overcrowded road network
Poor road conditions
Fuel consumption
 Road safety concerns
Poor traffic management

SMART TRANSPORTATION
 According to the US Department of Transportation, “Intelligent
Transportation Systems (ITS) apply a variety of technologies to
monitor, evaluate, and manage transportation systems to
enhance efficiency and safety.”
 In other words, smart transportation uses new and emerging
technologies to make moving around a city more convenient,
more cost effective (for both the city and the individual), and
safer.

The utilization of IoT in the transportation industry has gained
momentum in recent times.
 As per the Allied Market Research, by 2023, it is expected
that the market of IoT in transportation will be valued at $328
billion.
Within the transportation sector, IoT devices are deployed for
a wide range of applications to provide efficient and secure
transport in urban areas, notably in ticketing, security,
surveillance and telematics systems.

Management Centres Transporter Roadway
management
Vehicle Allocations
 Parking Management
 Traffic Management
 Toll Administration
 Emergency management
 Commercial vehicle
Administration
 Road Maintenance &
Management
 Information Service Provider
 Data Management
 Transporter
 Travel Support
 Personal Information
Access
• Domestic Vehicle
• Emergency Vehicle
• Commercial Vehicle
• Management Vehicle
• Toll collection
• Commercial
Vehicles Check

• Electronics Toll CollectionSystem

Public transport surveillance:
As the public transit population grows, it becomes increasingly
important
 to launch surveillance system on the public transport, for e.g.
buses, mass transit railway, underground, and trains
 to secure public transportation.
 The administrators can monitor the public transport remotely and
take action against any accidents/incidents.
 The video footage can also be used as legal evidence against
damage or criminal action on the public transport.

Real Time Traffic
Information Systems

Process of obtaining, producing
and distributing material
products in proper place and in
proper quantity

 Applications Of IoT in Transportation and Logistics
business
 Logistics management requires monitoring multiple activities at
once — supply chain, warehousing, transportation, and so on.
 To streamline processes and increase customer satisfaction,
industry leaders and decision-makers embrace innovation and
evaluate the cost-benefits of using Internet of Things for logistics
process optimization.

 In the transport and logistics sectors, the Internet of
Things (IoT) is delivering highly integrated and efficient
transportation and warehouse management solutions.
 Installed sensors in transport vehicles will continuously
capture, share and process data that can be acted upon in real-
time.

Monitoring a Truck real time by Company Manager

 This connected ecosystem was developed due to the need for the
logistics sector to track their delivery vehicles (especially trucks)
from remote locations and ensure timely delivery of the shipment on
the required destination.

Communications systems:
This system facilitated a constant communication between the
logistics managers and truck drivers.
 Vehicle Tracking:
The vehicle tracking solution generally monitor the current location of
trucks that are conveying the cargo to its destination. By using GPS
tracking tools, logistics industries track their trucks and estimate the
probable time of delivery.

 IT Security:
As per IBM, cybersecurity threats are increasing briskly in the
transportation sector. This also affects the companies in the
logistics vertical and hence IT security is important for them to
safeguard precious data from external cyber-attacks.
 Supply Chain Monitoring Systems:
The logistics industry is supported by supply chain monitoring
systems. The opposite of this statement is also completely true.
Logistics companies manage the complete supply chain
process from gathering raw materials to the distribution of
finished products.

 Applications of IoT In Logistics Sector
 Location and Route Management:-
 Trucks are the lifeline of any logistics company. In the US alone,
more than 70% of all the goods are transported by trucks.
 The location and route management solution of IoT for logistics
industry is hence quite popular.
 This solution enables a logistics manager to monitor the location of
their trucks in real-time.

 Inventory Tracking and Warehousing:
 IoT facilitates the development of a smart warehouse system that allows a
company to prevent losses, ensure safe storage of goods, and efficiently
locate the items in need.
 It also helps companies to revamp their warehousing operations, resulting
in the reduction of labor costs and an increase in efficiency due to less
manual handling errors.
 RFID tags and sensors allow companies to easily keep track of their
inventory items along with their status and position.

Benefits of IoT in transportation and logistics
 Reliable vehicle tracking
 Reduced shipping costs
 Improved supply chain planning
 People safety and employee monitoring
 Product safety and improved transportation conditions

Technologies In STS
There are several existing modes of sensing:
static sensing, where sensors
are statically placed on the
road,
mobile sensing, where sensors
are placed in the moving vehicles
hybrid sensing, where both
in vehicle and on-road
infrastructure are needed

Technologies In STS
Static sensing: techniques
• Loops and magnetic sensors - Vehicle
detection and counting using magnetic
sensors or loops under the road surface, and
deployed systems
• Images and videos - Video surveillance to
monitor traffic states and detect incidents
and hotspots is fairly common gives a
comprehensive survey of the major
computer vision techniques used in traffic
applications.
• Acoustic sensors - Some recent research is
being done to use acoustic sensors for
traffic state estimation, especially in
developing regions, where traffic being
chaotic is noisy .
• RF sensors - Wireless radios placed across
the road have communication signals
affected by vehicular movement in between..

• GPS on public transport or fleet
vehicles – Many public transport and
fleet companies have GPS installed in
their vehicles for real time tracking..
• GPS on Smartphone's - With the
recent proliferation of smart phones,
Smartphone GPS is being studied for
hotspot detection and travel time
estimation, after handling noise in GPS
readings
• Sensors on Smartphone's - Other than
GPS, smart phones also have sensors
that can provide interesting information.
solved the problem of reorienting the
accelerometer of a Smartphone to match
the car axes.
Technologies In STS
Mobile sensing: techniques

Hybrid sensing: techniques There are a set of techniques that use both
static infrastructure and mobile sensors to gain traffic information.
(1)Teledensity - Cell phone operators can give approximate vehicle densities in the
neighborhood of a given cell tower,based on subscribers seen at that tower.
(2)Bluetooth – it is a system where roadside Bluetooth detectors sense Bluetooth radios in
phones inside vehicles. Correlating the sensed Bluetooth addresses among different
detectors, gives travel times of the vehicles between the detectors.
(3)RFID - Similar systems are being explored using RFID tags on vehicles and RFID
readers on roads
Technologies In STS

The Main Benefits of Transportation Technology

The benefits of smart technology and the advantages they bring to
transportation within a smart city are numerous.
 Safer: By combining machine learning with IoT and 5G, autonomous
transportation to reduce the “human factor” in accidents. Computers don’t
get distracted or fatigued or emotional.
 Better managed: It allows administrators to better monitor operations,
track maintenance needs, and identify key sources of problems that need
to be fixed.

 More efficient: With better management comes more efficient use. Quality
data can help to pinpoint areas where efficiency can be improved. Maybe a slight
adjustment in train schedules would provide for better fill rates.
 Cost effective: Because smart transportation makes better use of the
resources available, it can cut down costs thanks to preventative maintenance,
lower energy consumption, and fewer resources used towards accidents.
 Provides rapid insights: City traffic management centers (TMCs) can get rapid
visibility and notifications for trouble spots or city-wide issues affecting
congestion on city streets, public safety and emergency response systems, in order
to take action or communicate more effectively with other agencies and
emergency responders.

ADVANTAGES OF STS:
 Improved safety
 Better traffic flow
 Lower travel cost
 Better environmental quality
 Increased business activity
 Better travel information
 Better planning information
 Greater user acceptance
DISADVANTAGES OF STS:
 Preliminary difficulties in understanding
 STS equipment are costly
 The control system software could be hacked by hackers

1.smart transportation 2 (3).pptx

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