Context :
Delhi
govt unveils draft policy to regulate cab aggregators, delivery service
providers … BL
/ 10 May 2923
Extract
:
The Government of National Capital Territory of Delhi (GNCTD), on
Wednesday, announced the Motor Vehicle
Aggregator Scheme 2023, which is aimed at regulating cab aggregators and
delivery service providers.
“This scheme prioritises the safety of passengers and
ensures timely grievance
redressal, while also promoting the use of
electric vehicles (EVs) and reducing pollution levels in the city,
Kejriwal said.
By transitioning to
EVs and promoting electric bike taxis, the government will be able to reduce
pollution levels in Delhi and create new opportunities for employment and economic
growth, he added.
The scheme follows a ‘polluter
pays’ principle, which will make the per vehicle licence fee for a
conventional vehicle significantly higher than an EV.
For instance, the licence fee for an electric taxi may be zero, but the licence fee of a CNG taxi may be ₹650. Second,
all licence fees and penalties under the scheme, shall also be credited to the State EV Fund which, in turn, supports EV promotional activity.
“The
scheme will also mark a historic first for the nation where a state government
will be introducing a mandatory
transition of commercial vehicles
from conventional vehicles to electric vehicles,” said GNCTD.
The aggregator
scheme also provides for phased mandates for fleet operators to transition their fleet from conventional
vehicles to electric. These mandates only apply to an incremental percentage of new on-boarded vehicles over a period of four years to avoid
any knee-jerk reactions to existing livelihoods, it added.
For instance, five percent of new on-boarded cars need to be electric in the first 6 months of the
scheme. Thereafter, 4 years from its notification, all new
commercial 2-wheelers
and 3-wheelers will
need to be EVs.
Similarly, after five years from its notification, all new commercial 4-wheelers need to be EVs. The
Aggregator and Delivery service provider shall also be mandated to switch to an
all electric fleet by April 1, 2030.
The aggregator scheme will be applicable to
any person or entity that operates, on-boards,
or manages a fleet of motor vehicles through
digital or electronic means or any other means to ferry passengers or connect a driver
offering to deliver or pick up a product, courier, package, or parcel to
connect with a seller, e-commerce entity, or consignor.
The scheme lays the foundation for a
regulatory provision for bike taxis
and rent-a-bike services. Since
Delhi has never permitted bike-taxis to operate in the city, the scheme
provides for such services to be regulated in the city.
As a new business opportunity, the scheme
ensures that all bike-taxis and two-wheeler renting
services in the city shall only be via electric two-wheelers. These provisions
are in-line with the Delhi EV Policy 2020.
Dear Shri Kailash Gahlotji
{ Minlawtpt.delhi@nic.in
/ kgahlot@gmail.com
}
Congratulations
on this bold policy initiative
I
urge you to consider my suggestions in the following email :
Ø
POLLUTION
SOLUTION , aka " PollSolv "
.. ……………………. 30 Dec 2015
[ Implementation of this suggestion has
following implications :
# It will set a world record and a BENCHMARK MODEL to be copied by cities
around the World
# It will enable Delhi Government to earn annually , CARBON CREDITS worth
Rs 10,000 Crore ]
Extract :
It is said
: Necessity is the Mother of Invention
Let us rephrase : Essentiality is the Mother of Intervention
This is in response to Odd / Even driving rule being experimented in Delhi from Jan 1 2016
Equally applicable to any other city , threatened by vehicular emission pollution
This solution will be named : PollSolve
It will be in two parts , as follows :
# VEHICLE BASED DEVICE
All
vehicles (existing and future registrations) to be fitted with a GPS locator (
compulsory )
Each of this locator will carry Vehicle Number ( hard-coded )
A software in Delhi Transport Department , will then , be able to track in real time , movement of each vehicle ( 24*7 ) , on several computer screens
If a Odd numbered vehicle is travelling on Even date , it will show up as a RED colored dot on the screen and through linkage with RTO records ,an automatic alert will be issued to the mobile phone of the nearest Traffic Police to catch / stop that vehicle and take that vehicle, off the road !
The owner / driver can take it back after one week of grounding !
This technology is available , commercially and off - the - shelf
Should not take more than 6 months to implement
# MOBILE BASED APP
Each
citizen of Delhi will have to ( compulsorily ) download and install on his
smart phone , an App called
He / she will enter following data in the App :
*
Name / Gender / Aadhar Card No
* Email Id / Mobile Number / Residence Address / Work-place Address
* From / To ( in the morning ) / Starting Time of travel
* From / To ( in the evening ) / Starting Time of travel
* If owning a vehicle , then :
take care )
joining a Pool
CarPool
App will not accept the data ,nor get activated ,until Mobile Owner also keeps
" ON "
With this data , software will analyze / display , a list containing names / contact info of other citizens ( matched gender-wise ) , travelling on same , approximate " route " and the nearest pick-up points , on Google Map
Citizens will then contact other vehicle-owners and form a CarPool
Then , they will enter their CarPool Number ( as mentioned above )
The software will reanalyze / redisplay the list if any entered data gets EDITED later
After compiling data about ONE BILLION actual cumulative travels undertaken by each type of vehicle ( 2-3-4 wheeler ) , BIG DATA ANALYTICS software , will carry out ,
*
Millions of permutations / combinations of " Car Pool Universes "
possible
* Using ( updated version of ) " Karmarkar's Algorithm " , figure out the optimum
Car Pool Universe which minimizes the overall pollution level in Delhi
compiled from the " Optimum Universe " and send " Car Pooling
Recommendation " to each citizen thru CarPool app
This could be somewhat like " Travelling Salesman Problem " in Linear Programming ( - improved versions could be found in Fuzzy Logic / Neural Network / Artificial Intelligence )
{ " Big data has the potential to make a huge impact on Public Services in India, as it will streamline the decision-making " : Stephen Brobst , Global CTO , Teradata Corporation }
Another
suggestion :
If ODD / EVEN rule provides for 50:50
probability and reduces the no of vehicles on roads by 50 % , use of an
algorithm which picks only 25 % of the car numbers from the database of cars ,
using a RANDOM NUMBER TABLE , will reduce the vehicles on road to 25% !
And
nothing " arbitrary " about a computer selection, announced 24 hours
earlier !
This will eliminate the incentive to rush and buy a second car with either odd or even number !
Given the prevalent START-UP wave in India, any number of Indian Start Up companies would be happy to take on this " Two Part " challenge and implement in 6 months .
It is the least expensive / permanent / replicable solution , suitable for the entire World
All that is required is a POLITICAL WILL and some genuine cooperation between Shri Gopal Rai ( Delhi Govt ) and Shri Nitin Gadkari ( Central Govt )
It is time
to offer to the World , an INDIAN ANSWER to vehicular pollution
Dear Gahlotji ,
To eliminate any and all “ Reservations “ that you might have regarding the
FEASIBILITY of my suggestion, I took help from ChatGPT as follows
With regards,
Hemen Parekh
www.hemenparekh.ai /
11 May 2023
My poser to ChatGPT :
Air Pollution / Global Warming / Traffic Congestion , caused by
vehicular traffic , is a serious problem for all big cities of the World.
In past 7 years since I made following suggestion, a lot of
initiatives have been taken to mitigate this problem .
Technology wise also there is a huge progress in terms of RFID -
Sensors - Vehicle tracking using CCTV and GPS ( NAVIC ) satellites - IoT and of
course, Artificial
Intelligence .
In a TABULATED FORMAT , please evaluate the feasibility of suggestion
in my following blog .
Against each parameter of my suggestion, indicate in a separate
column, time period ( in No of Weeks ) , that might be needed to implement it
ChatGPT replied :
Feasibility Evaluation of PollSolve Solution:
|
Parameter |
Feasibility |
Time period (in weeks) |
|
GPS locator in all vehicles |
Highly feasible |
24 weeks |
|
Real-time vehicle tracking |
Highly feasible |
8 weeks |
|
Automatic alert system |
Highly feasible |
8 weeks |
|
Car grounding period of 1 week |
Feasible |
4 weeks |
|
Compulsory CarPool app |
Highly feasible |
16 weeks |
|
Data entry fields in CarPool app |
Feasible |
4 weeks |
|
Matching algorithm for CarPool app |
Highly feasible |
20 weeks |
|
Pollution minimization algorithm |
Feasible |
40 weeks |
|
Least polluting route algorithm |
Feasible |
40 weeks |
|
Car number selection algorithm |
Highly feasible |
16 weeks |
|
Political will and cooperation |
Depends on circumstances |
N/A |
Overall, the PollSolve solution appears to be highly feasible
with most of the parameters being feasible within a timeframe of 40 weeks or less.
The most time-consuming
aspect of the solution is the development of the algorithms for pollution
minimization and least polluting routes, which may take up to 40 weeks.
However, these algorithms are crucial for achieving the desired results of reducing vehicular pollution.
The implementation of the
solution will also require political will and cooperation, which may vary
depending on the circumstances.
Dear Shri Gahlotji,
At
my prompting , ChatGPT even calculated for completion of each
activity :
# Minimum Time ( Optimistic Time )
# Maximum Time ( Pessimistic Time )
# Most
likely time
# Slack Time .. etc
It
also computed the time for the CRITICAL PATH and even drew a PERT
diagram
If
desired , please write to me ( hcp@RecruitGuru.com
) and I will mail these calculations to you
For that matter , I will be happy to share these with any reader
Related Readings :
With
clean air and less noise, the EV future has already arrived in Norway
Internet
of Vehicles ( IoV ) ? . 04 Mar 2017
On the Horizon : Internet of Vehicles ( IoV ) … 14 Apr 2022
Thank
You, Shri Kailash Gahlotji … 08 Apr 2022
Thank
You, Shri Gehlotji ….. 03 Jan 2022
Thank
You Shri Gahlotji , ………. 15
July 2021
Congratulations
, Shri Kailash Gehlotji !
28 Nov 2018
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