The document discusses Texxi, a proposed on-demand transit service that would allow users to request and pay for rides through an "exchange traded transit model". Key points include:
- Texxi would operate like a transit exchange, allowing vehicle operators to sell "ride futures" and guarantee income, while users could guarantee rides within a time frame for a set cost.
- It proposes an "HLT Cloud" (Hospitality, Logistics, and Transportation Cloud) that would fulfill on-demand transit requests from users through the closest available vehicle, similar to how the postal system or internet works.
- Additional potential revenue models for Texxi operations include advertising, vehicle fleet sales, carbon credits, event transportation, and
At iomob we seek to transform urban mobility from its current fragmented state towards a decentralised internet of mobility marketplace. This white paper seeks to explore emerging trends and future directions towards more seamless access to public and private mobility services.
Forget last mile travel - a new modality rising!Peter Biczók
First and last mile transport discussion is outdated. The Dutch national transport model shows that once passengers can rely on a bike hire system at the activity end of the trip, the attractiveness of transit soars. A new, interdependent! modality, bike-transit has been established that is more attractive and more socio-economical that the (automated) private car.
Transportation is changing and it's changing fast! Inclusivity, environmental concerns and smart cities are all new challenges our mobility needs to tackle. Find more in our new infographics!
With the rapid development of the urban social economy, the difficulty of getting a taxi is becoming challenging. The ride-hailing business offers a number of benefits.It is a convenient, affordable, and flexible transportation option that can help to reduce traffic congestion. For more info: https://www.ondemandclone.com/uber-clone/
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...Naoki Shibata
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
At iomob we seek to transform urban mobility from its current fragmented state towards a decentralised internet of mobility marketplace. This white paper seeks to explore emerging trends and future directions towards more seamless access to public and private mobility services.
Forget last mile travel - a new modality rising!Peter Biczók
First and last mile transport discussion is outdated. The Dutch national transport model shows that once passengers can rely on a bike hire system at the activity end of the trip, the attractiveness of transit soars. A new, interdependent! modality, bike-transit has been established that is more attractive and more socio-economical that the (automated) private car.
Transportation is changing and it's changing fast! Inclusivity, environmental concerns and smart cities are all new challenges our mobility needs to tackle. Find more in our new infographics!
With the rapid development of the urban social economy, the difficulty of getting a taxi is becoming challenging. The ride-hailing business offers a number of benefits.It is a convenient, affordable, and flexible transportation option that can help to reduce traffic congestion. For more info: https://www.ondemandclone.com/uber-clone/
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...Naoki Shibata
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
Last-mile delivery is the final stage in the network of courier, express, and parcel companies
(CEP). It is an entire ecosystem that brings a variety of goods to consumers’ doorsteps (or
very close). In 2016, we looked at the transport market – and in particular last-mile delivery –
from two industry perspectives: commercial vehicles (advanced industries sector) and CEP
(logistics sector). Our analyses revealed three main insights
It is often believed that successful cities depend on efficient public transportation working in conjunction with other sustainable travel options. Among the sustainable travel options, local taxi services tops the list. It is an individual, mostly
When Texxi was created in 2005 as the vehicle to monetise the IP of Eric Masaba, it was done so in a corporate structure designed to prevent against targeted liquidations.
Both companies are arbitrary and could be named anything. The important thing is the legal agreement between Eric Masaba and the entities.
This was from my bitter experience with a former technology company since the normal practice in Silicon Valley is for much better capitalised rivals to do this to smaller firms.
Texxi Limited was incorporated in March 8th 2005 and served as the exclusive licensee to Crane Dragon, itself the sole authorised reseller of Eric Masaba’s IP.
These structures prevented rivals forcing us into liquidation in order to obtain the I.P.
Both companies are arbitrary and could be named anything. The important thing is the legal agreement between Eric Masaba and the entities.
Solving the Market Formation Problem: Market Makers and Liquidity on Transit ...Texxi Global
What is the "Market Formation Problem"
When someone wants to rideshare, there may not be enough other rideshare partners to justify deploying a vehicle for a shared ride.
This "coincidence of wants" is hard to find and this creates what we call the "market formation problem".
There may not be a large enough set of co-riders at a given point in time and at a given place to make a rideshare system feasible.
The market formation problem plagues many rideshare initiatives. This describes what we need to consider to make real-time dynamic, ridesharing work.
What we proposed in 2006 onwards was a means to fix this, much in the same way as Google re-created search, just as complacent incumbents were convinced that it "was a problem that had already been solved"
World Resources Institute Conference | Beijing, China 2016Texxi Global
Increasing highway capacity is not always a solution to the efficient mobility of people and goods as it leads to more traffic both on the new and existing roads
More traffic means more congestion
With current technology, more traffic means more road crashes, more pollution, more energy wasted, more parking congestion and increasing C02 and climate change
More reliance on car use for mobility leads to poor land use planning decisions and urban sprawl
Especially in towns and cities TDM can reduce the need for motorised transport
TDM can create better use of existing transport transport facilities
In some circumstances TDM can be a cost effective alternative to increasing capacity with new costly infrastructure
Market Makers & Liquidity on a Transit ExchangeTexxi Global
When someone wants to rideshare, there may not be enough other rideshare partners to justify deploying a vehicle for a shared ride.
This "coincidence of wants" is hard to find and this creates what we call the "market formation problem".
There may not be a large enough set of co-riders at a given point in time and at a given place to make a rideshare system feasible.
The market formation problem plagues many rideshare initiatives. This describes what we need to consider to make real-time dynamic, ridesharing work.
What we proposed in 2006 onwards was a means to fix this, much in the same way as Google re-created search, just as the sated, hubris-filled incumbents were convinced that it "was a problem that had already been solved"
Telstra 2006 Pitch | Paid Taxi Rides to SupermarketsTexxi Global
Using advertising revenues to pay for taxi rides. This presentation, given to Telstra (the State owned Australian Telecoms Giant) covered the concept of using a mobile geolocation system to pay for taxi rides to a location which advertised on the exchange. This was 5 years before Google even file their claim to have invented this.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Explaining Texxi in 2007
1. TEXXI_BUTTON_PHONE(2).jpg
Fw: Texxi - Nice to see someone "get it".
Eric Masaba
to:
ops
26/06/2009 04:27
Hide Details
From: Eric Masaba/CraneDragon
To: ops@texxi.com
1 Attachment
Eric Masaba
Partner
Crane Dragon
37 Warren Street,
London W1T 6AD
UNITED KINGDOM
Tel: +44 207 154 2050 | Fax: +44 845 127 5037
eric.masaba@cranedragon.com
----- Forwarded by Eric Masaba/CraneDragon on 26/06/2009 04:26 -----
Eric Masaba/CraneDragon
04/07/2007 18:17
To jabailo@texeme.com
cc
Subject RE: Texxi - Nice to see someone "get it".
John,
RE: Thanks for the nice words about Texxi
Texxi is also similar to AirTroductions
( http://www.coolbusinessideas.com/archives/social_networking_in_the_sky.html ) and
Pink Ladies ( http://www.coolbusinessideas.com/archives/cabs_for_pink_ladies.html ).
What we really push is the social networking aspect of shared travel by taxi (Texxi
Groups)
www.texxi.info
www.texxi.com
RE: Texxi will be to Taxi Fares what JetBlue / EasyJet / Ryanair is to Airfares
1. http://news.bbc.co.uk/player/nol/newsid_4970000/newsid_4977500/4977542.stm?bw=bb&mp=wm
2. http://www.plentymag.com/features/2007/06/ticket_to_ride.php
3. http://blogs.brisbanetimes.com.au/rhymeorreason/archives/2007/05/i_wont_sidestep.html
4. http://www.cbsnews.com/stories/2007/05/22/tech/main2836092.shtml
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2. 5. http://www.stagecoachgroup.com/scg/media/publications/policydocs/yellowtaxi.pdf
I just saw some wonderful work on realtime demand mapping and felt it represents
what we are trying to do at Texxi - a highly scalable Demand Responsive Transit
Exchange.
We want to allow all transit systems in all cities to pre-emptively "sense" what people in a
particular city are planning to do - it will be in fact the "database of travel intentions"
based on historical information (like historical volatility in financial markets)
We have invented the "Transit Exchange Concept" whereby we can use the innovative
ideas from capital markets and apply them to transit to make the whole transport system
in a city more reliable than it is in most cities currently.
RE: The Exchange Traded Transit Model
Imagine paying only £2.50 for a cab ride each way every day from southwest London to
the City. For a yearly total of 1,000 (£5 / day, 200 days per year) that is all your taxi rides
covered to and from work. In a certain type of vehicle. With a maximum guaranteed
waiting time (e.g. 15 minutes).
(For 5 minute hire, you would expect to pay more - e.g. £10 per day each way.)
A car can cost as much as this to run per month. If we can apply the low fare airline
model to taxi transit, we can change what services, choice and experience users have
access to.
If 8 people are doing this, a cab driver can make a sure £10,000 for one ride each
morning and one each late afternoon.
Better still, this can all be formalised onto an exchange and all the relevant innovation
which has been tried an tested in financial markets can be brought to bear.
Exchange Traded Transit is the central concept to a Texxi model.
Texxi trialled in Liverpool Mar 2006 - Sep 2006. Please also refer to http://www.texxi.info
and http://www.texxi.com.
Transit Futures will allow a taxi driver to get an idea of what income (s)he can expect for
the next 12 months (assuming (s)he carries out the
work). Drivers can sell futures on the exchange to fund bills / debt service after they have
a certain behaviour rating.
Customers can buy a certain class of trip futures (immediate, 30 minute, day ahead, 3
day ahead) in bulk ahead of time so that they can hedge
against fuel price rises. Drivers who fall ill can then sell their trips to other drivers of a
similar behaviour rating, but are not allowed to profit take on this (to
prevent market cornering). Customers can do the same.
This allows customers a guarantee that when they need a cab they will get it in a certain
timeframe. It also allows drivers to know that as long as they honour their contracts, they
will always have work.
Texxi provides a logistics resource cloud for physical transportation fulfillment in
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3. realtime demand conditions.
Imagine if we had a Transit Exchange - similar to a Cotton Exchange or an Oil Exchange
for each UK city. Taxi operators (more generally vehicle operators) could sell "ride
futures" to guarantee cashflows and keep the transit system running smoothly, while
customers would be able to guarantee service with certain attributes (e.g. I want a cab
within 15 minutes of hailing every Friday at 4pm until further notice) ahead of time for a
predictable cost.
As with commodity / bond markets, there will be yield (demand) curves which will help
buyers and sellers mitigate risk and find a fair price to do more business in a regulated
way. The current taxi environment (with the exception of wonderful firms like Addison
Lee) can only be described as ad-hoc.
Amazon (the online retailer) has recently launched a couple of services called S3 and
EC2. EC2 is an abbreviation for "Elastic Computing Cloud".
It allows people to buy as much or as little computational power / storage as they need
for their projects. Because typically users do not know what they need and it is expensive
and risky to invest in too much infrastructure ahead of time.
(http://aws.amazon.com/s3 , http://en.wikipedia.org/wiki/Amazon_S3)
I coined a phrase in 2004 / 2005 that we use at Texxi called a Hospitality, Logistics and
Transportation (HLT) Cloud. This is the same idea as Amazon's S3 service but is
applied to transport (albeit up to 2 yrs earlier).
Perhaps (Holistic Logistics and Transit Cloud is better?).
HLT Cloud (Hospitality Logistics and Transportation Cloud)
This is a concept which emulates that of national postal services or the Internet. The
Texxi system will allow a user to summon a vehicle by using a device like a mobile phone
to allow for real-time transit fulfillment. In effect the user can "send" him/herself just like
he/she may send a letter or email.
With national postal services, users put a letter into a letter-box after having addressed it
and paid the fee (postage).They do not have to rely on a singular postal vehicle to take
their letter.
With the internet, email documents are addressed and sent via the worldwide web cloud.
There are many different carrier paths the message can take.
With Texxi, users address their destination and then get picked up by the nearest (in
time / space and attribute matching) available vehicle. (think FedEx for people).
If one needs a ride each morning, the cloud supplies the fulfillment provider (FP - bus,
taxi, helicopter, private jet). It may be the same taxi vehicle each morning or it may be a
different taxi vehicle each morning.
In all cases, the user will be able to rely on the fact that once they have bought a trip, it
will be fulfilled. Much like the EasyJet / RyanAir model.
Depending on how far ahead in the future people buy trips, the trips are cheaper.
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4. Depending on how flexible / inflexible people are about their choice of ride partner, the
trip(s) are cheaper / more expensive.
Why have buses driving around mostly empty when no-one is using them. Is this 1806 or
2006? We know where users (potential users) are. We can predict with algorithms and
models where users will be and based on rolling data gathered, we can even place those
vehicles magically ahead of demand.
Virtual City
The "Virtual City Concept" will allow people who live in semi-rural areas with no large
cities (most UK counties in fact), to effectively have a very reliable, robust transportation
system without relying on huge government funded transportation schemes.
These concepts combine to form TEXXI - Transit Exchange XXIst
Century
Regards
Eric Masaba
Managing Director
Crane Dragon Limited
The Old Tavern, Market Square, Petworth
WEST SUSSEX, GU28 0AH
UNITED KINGDOM
Tel: +44 207 993 2324 | Fax: +44 845 127 5037
eric.masaba@cranedragon.com
www.cranedragon.com
Another Piece in the Fulfilment of Search
The integration between the boundaries of online search and travel will become
increasingly blurred to the point where the two activities are seamless.
If one considers that the intentions of a large number of people start with an online
search (including mobile online search) then there are two fulfilment paths to consider:
In the first case, the intention is fulfilled by moving an item TO the person who executed
the demand. This is handled extremely well by the logistics business space. There is
room for evolution, but generally it is a problem with excellent solutions. When the item
required is digital in nature, this is taken care even more effectiviely by the network /
bandwidth provisioning companies (Digital Logistics).
Secondly, an intention is fulfilled by moving the person TO the intended place. This is
handled neither particularly well nor seamlessly.
Assume I am a tourist looking for an attraction to visit in a foreign city. Normally I would
use a (space-domain) map, figure out where the attraction was located, then figure out
how to get there and how much the trip would cost. I would then go to find the transport
and try to coincide my itinerary with a timetable.
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5. Now with an evolved Texxi model, I would use my mobile communications device with
either a time-location-domain map of attractions OR a cost-location-domain map of
attractions (these are maps which show loci depending on how long it takes get there or
how much it costs to get there; the actual distance is normally a secondary consideration,
it is just that this normally has some reasonable relationship to the time it takes to get
there).
Then the final and critical piece. I click on the map and instruct the DRT Exchange that
this is where I wish to go. Texxi (the Broker) takes care of the rest through its DRT
Exchange activities and I am moved by a DRT Fulfilment Provider (shuttle, taxi, bus,
private jet) from either directly where I am located or from nearby with a group of people
with a similar itinerary. This group is further filtered by behaviour/reputation parameters -
so I don't get put in with football hooligans.
This is 21st century travel. Effectively "FedEx for People".
What (additional) revenue models are available for Texxi Operations?
1. Seat Revenue.
2. Text Revenue.
3. Bulk buy Palm Oil and Trans-Esterify into BioDiesel - supply to drivers at discount
to further boost their profits.
4. Advertising& Channel Sales.
5. Bulk-buy of Fleet Vehicles at a discount and resell to users of the system.
6. Collateralised Bond Obligations and CDS on outstanding vehicle loans – why this
is a great win for any of Mercedes, PSA Peugeot-Citroen etc
7. Carbon Abatement – the vehicles will be Carbon-Neutral or negative and we can
become a net seller of Carbon Credits.
8. School Run replacement.
9. OAP (Senior Citizens) Supermarket Run.
10. English Heritage / National Trust / Football Matches / Concerts / Wimbledon.
11. Remote Community Linkage.
12. Train-ParaTransit Linkups (Text to get picked up from intermediate station
and get taken home, e.g. Crewe-Chester)
13. Housing Development ParaTransit – instead of supplying parking spaces,
supply Texxi passes.
14. Light Haulage Replacement - Texxi can become the entire intra-city delivery
network broker.
16. Restaurant Deliveries.
17. Emergency Delivery / Courier Services.
18. Limousine Linkage Services – we can enable SME Limousine Companies to link
up into a seamless Meta-Company.
Eric Masaba
Managing Director
Crane Dragon Limited
The Old Tavern, Market Square, Petworth
WEST SUSSEX, GU28 0AH
UNITED KINGDOM
Tel: +44 207 993 2324 | Fax: +44 845 127 5037
eric.masaba@cranedragon.com
www.cranedragon.com
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