PLUS to start pilot testing of its own gateless gantry toll system in April; system to be linked to JPJ – report - Related to jpj, gateless, system, tesla, bmw
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“You can feel grip through the steering, through the movement of the car. But actually speed feedback today you get from sound, you get from vibration, you get from gears. And if you’re on the track you’re not able to look down to your speedometer."
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PLUS to start pilot testing of its own gateless gantry toll system in April; system to be linked to JPJ – report
This has been talked about for a very long time, but are we finally going to see something soon? Astro Awani writes, citing a findings by The Edge, that several highway concessionaires are taking it upon themselves to develop their own gateless toll system, with PLUS Expressways Berhad targeting to start pilot testing in April.
While details of the system are still unknown, PLUS has an advantage through its Teras Teknologi subsidiary, which presently provides electronic toll collection systems for most highway concessionaires. PLUS also plans to link its system with the road transport department (JPJ), so that drivers with unpaid tolls will not be allowed to renew their road taxes, .
This ‘pass now, pay later’ method seems to be the way to realise going through tolls at speed, at least for now. Touch ‘n Go eWallet last month launched SOS Balance, the first such system in Malaysia. Still not gateless, but it allows ‘good’ clients (you use the app and reload frequently, pay on time etc) to pass tolls with insufficient balance. The payment must be made within 24 hours by reloading the eWallet, and you can only ‘delay’ RM80 a day, tops.
Also known as Multi-Lane Free Flow (MLFF), gateless gantries were talked about in Malaysia as early as 2008. PLUS stated in 2015 that it would introduce the system in 2018, which of course came and went. , the government previously set a 2025 target for it, so let’s see if it happens this year, shall we?
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Jay Leno had to remind Tesla executives that the Roadster exists
In a short but funny interaction, Jay Leno had to remind Tesla executives that the Roadster still exists – sort of, since it has been delayed seemingly indefinitely.
The next-generation Roadster has become basically a running gag in the Tesla community.
I’ve asked Grok, Elon Musk’s truth-seeking AI, to compile all the times the CEO introduced timelines to bring the Roadster to production and compare them to reality:
Initial Announcement (November 2017): introduced Launch : 2020.
: 2020. Reality: Delayed; no production by 2020. Revised to mid-to-late 2021 in July 2020. July 2020 upgrade: revealed Launch : Mid-to-late 2021.
: Mid-to-late 2021. Reality: Delayed; no production by 2021. Revised to 2022 in January 2021. January 2021 improvement: presented Launch : 2022.
: 2022. Reality: Delayed; no production by 2022. Revised to 2023 in September 2021. September 2021 revision: unveiled Launch : 2023.
: 2023. Reality: Delayed; no production by 2023. Revised to 2024 in May 2023. May 2023 enhancement: revealed Launch : 2024.
: 2024. Reality: Delayed; no production by 2024. Revised to 2025 in February and October 2024. February 2024 and October 2024 Updates: unveiled Launch : 2025 (production version unveil by end of 2024, deliveries in 2025).
: 2025 (production version unveil by end of 2024, deliveries in 2025). Reality: Current target; not yet launched as of February 11, 2025 and the production version was not unveiled in 2024.
We are coming up on a decade since the original unveiling, and Tesla has nothing to show for it despite not having launched a new vehicle other than the Cybertruck over the last 5 years.
Based on Musk’s last enhancement, Tesla was supposed to unveil the production version by the end of 2024, which did not happen, and then start production in 2025.
Tesla has basically gone silent on the program other than being listed “in development” without a production location for years in its list of vehicle programs (still the same as of last month’s enhancement):
The current state of the Tesla Roadster program couldn’t have been enhanced illustrated than by this quick conversation between Jay Leno and Tesla executives Franz von Holzhausen and Lars Moravy.
As we have often reported, Tesla doesn’t have a press relations department and doesn’t maintain any relationships with US media other than with a few “friendly” publications and media personalities, including Jay Leno.
Tesla gave Leno an , which is not expected to hit US roads until next month:
During the drive, Leno asked von Holzhausen, Tesla’s chief designer. and Moravy, Tesla VP of engineering, if the new Model Y would come with a three-motor powertrain.
“We do not make three, just one or two. Three is reserved for Plaid and the Beast.”.
By that, he meant the top performance “Plaid” versions of Model S and Model X, which do come with a tri-motor powertrain, and the Cyberbeast version of the Cybertruck.
Then Leno had to remind them that they stated the Roadster would also have three motors:
Then, both executives repeated “and the Roadster” before quickly moving on.
I think the odds of Tesla launching the new Roadster this year just crashed. Not that they were very high to start with.
It’s true that the Roadster wouldn’t be very impactful as a vehicle program, but it would make things fun and exciting at Tesla again with some cutting-edge fun EVs to drive rather than everything being about self-driving.
It would be a fun distraction amid failing FSD deployment, crashing sales, lower margins, etc.
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 8.3% | 10.0% | 10.5% | 11.6% | 12.3% | 12.7% | 12.8% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 10.9% | 11.7% | 12.4% | 12.8% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Connected Cars | 35% | 14.2% |
| Autonomous Driving | 22% | 18.5% |
| EV Technology | 28% | 21.9% |
| Telematics | 10% | 9.7% |
| Other Automotive Tech | 5% | 6.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Tesla | 16.9% |
| Waymo | 12.3% |
| NVIDIA DRIVE | 10.7% |
| Bosch | 9.5% |
| Continental | 7.8% |
Future Outlook and Predictions
The System Electric Could landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the automotive tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing automotive tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of automotive tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.
hybrid intermediate
electric vehicle intermediate
platform intermediate
solid-state battery intermediate
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