Innovation in Heavy Vehicle Safety: A V2V Communication Case Study

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INNOVATION AND SUSTAINABLE
BUSINESS DEVELOPMENT
Vehicle to vehicle communication

What is vehicle to vehicle communication?
• Vehicle to vehicle communication is a technique in which cars can
communicate with the other cars.
• This information will consist of data like location, speed and direction.
• This technology can be use in order to avoid
• accidents and to keep the vehicles safe from other vehicles.

Problems Faced By Volvo
• Volvo is a Swedish multinational manufacturing company famous for the
manufacture of big trucks or heavy vehicles.
• Problem faced by the company is the high rate of road accidents due to the
heavy size of the vehicles
• Drivers of these big trucks loose control especially in the rainy season
which results in road accidents.
• Decrease in the sales of the company by 10%.

Advantage of Vehicle to Vehicle
communication
• It has the potential to decrease the 80 percent of vehicle crashes.
• It will improve the traffic management
• It will provide driver assistance
• It will provide direction and optimization of Route.

Design Strategy
• It is especially design for heavy vehicles in order to
overcome road accidents.
• Use of Inertial Navigation system is order to determine
the speed and direction of the vehicle
• Use of Laser Illuminated Detection and Ranging which
will assess the vehicle to gather accurate data about the
nearby objects or vehicles.
• Targeting all the companies which manufacture heavy
vehicles around the world

Marketing Strategy
• After the final makeover, Government of US will test the
features of thee technology first before releasing the
technology in the public.
• Advertisement on several social sites.
• Promotion of technology with the motto of “zero
automobile deaths”

The Business Case
• Heavy vehicle- Volvo trucks, Volvo VNX, Volvo VNL, Volvo VHD
 To provide information about traffic in real time
To alert drivers in case of vehicle is drifting out of the lane
Slowing down the vehicle in case it is getting close to any other vehicle.
• Fund requirement- $36 billion

Approach
• Phase 1- Testing of technology with the system of Volvo
• Phase 2- Handover to Volvo to test the technology in their lighter vehicles
like Volvo cars.
• Phase 3- Testing of the technology with different vehicles around to
world.
• Phase 4- Releasing the technology in public.

Financial Data
Task Description
• Initial testing cost
• Final Development cost
• Volvo ecosystem testing cost
• Server cost
• Technical specification
Amount in AUD
• $1,00,000
• $1,000,000
• $2,00,000
• 20,00,000
• $50,000

Business Model Canvas
Key partners
Truck developers
Cars investors
Smart cars developers
Key activities
Safety measures
Communicating with other nearby
objects
Innovative features
Value
prepositio
n
Performa
nce
Safety
measures
to
customer
s
Customiz
ation
Risk
declinatio
n
Customer relationship
Provide safety to the people
Reduce road accidents
Customer segments
Young generation
Truck Drivers
Mass market
Key resources
Culture
Ecosystem
Channels
Optimal channel bandwidth
Modern channels
Cost structure Revenue streams

References
• Luoyi Huang, Jiao Yao, Wei Wu, & Xiaoguang Yang. (2013). Feasibility Analysis of Vehicle-to-vehicle
Communication on Suburban Road. Promet (Zagreb), 25(5), 483-493. DOI 10.7307/ptt.v25i5.446
• Liu, Xu, Liao, & Chen. (2014). A real-time personalized route recommendation system for self-drive tourists
based on vehicle to vehicle communication. Expert Systems With Applications, 41(7), 3409-3417.
DOI: 10.1016/j.eswa.2013.11.035
• Luo, Xiang, Cao, & Li. (2016). A dynamic automated lane change maneuver based on vehicle-to-vehicle
communication. Transportation Research Part C, 62, 87-102. DOI: 10.1016/j.trc.2015.11.011
• Munshi, & Unnikrishnan. (2015). Vehicle to Vehicle Communication Using DS-CDMA Radar. Procedia
Computer Science, 49(C), 235-243. DOI: 10.1016/j.procs.2015.04.249
• Bulumulle, G., & Bölöni, L. (2016). Reducing Side-Sweep Accidents with Vehicle-to-Vehicle Communication.
Journal of Sensor and Actuator Networks, 5(4), 19.
DOI: 10.3390/jsan5040019