First Step : 8 years / Next Step 10 months ?
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
: CarPool
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 :
# Vehicle type : 2 - 3 - 4 wheeler
# Fuel type : Petrol / Diesel / Electric
# Vehicle Capacity : 1 - 2 - 3 - 4 persons ( including driver )
# Vehicle Number :
# Vehicle Registration Date ( to compute " Age " of vehicle )
# Serial Number of GPS locator fitted on vehicle ( must be unique / Mfrr to take care )
# CarPool Number (Unique Serial No allotted by App) : To be entered after joining a Pool
CarPool App will not accept the data ,nor get activated ,until Mobile Owner also keeps " ON "
the GPS location feature built into the phone
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
* Calculate for each citizen , the " LEAST POLLUTING ROUTE " based on data 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
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