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Lorry associations say peak-hour ban on highways will disrupt supply chains, increase industry costs - Related to disrupt, lorry, highways, commercial, peak-hour

Dynamic AI proposed for tackling of traffic congestion

Dynamic AI proposed for tackling of traffic congestion

A dynamic artificial intelligence (AI) system has been proposed to facilitate road usage restrictions which adapt to real-time traffic conditions with the aim of resolving peak-hour traffic congestion, New Straits Times has reported.

“What if instead of fixed schedules. We could adjust restrictions in real time based on actual traffic conditions? When congestion spikes unexpectedly, the system could extend the ban. When roads are clear, it could allow heavy vehicles through,” stated MY Mobility Vision founder and chief operating officer Wan Agyl Wan Hassan.

The suggestion from Wan Agyl comes after the Malaysian Highway Authority (LLM) introduced last week that enforcement of the ban on lorries on the PLUS, NKVE, Elite and DUKE highways effective from February 19 this year.

Newly added restrictions are from 4:30pm to 7:30pm from Monday to Friday, as well as from 6:30am to 9:30am from Monday to Friday (new for the ELITE and. DUKE highways; existing restriction for the PLUS North-South Expressway and the NKVE).

Subsequently, this move has sparked opposition from the Association of Malaysia Hauliers (AMH), who presented that authorities failed to engage it and other stakeholders before making its unilateral decision. Today, other transport industry associations have aired their views on the peak-hour ban, reiterating that the move will cause disruptions to supply chains and impact members’ livelihoods.

Artificial intelligence-driven technology for traffic monitoring was not merely theoretical, citing studies that similar systems can reduce congestion by 22%, and reduce fuel costs by around 15%, and would create a more efficient and. Predictable system for drivers and logistics operators, thus reducing wasted hours, Agyl noted.

Fixed time slots for the heavy vehicle ban fail to account for unpredictable traffic conditions, Agyl added. “Weather, accidents or even local events can extend the rush, while other times of day might be unexpectedly calm,” he stated, and the mismatch leads to idling trucks, wasted fuel and business disruptions, especially for industries relying on just-in-time manufacturing and the delivery of perishable goods.

Extended detours and delays affect the entire supply chain, affecting industries from electronics to palm oil, he continued, and. While he acknowledged the existence of some exemptions for emergency vehicles and waste management, they “barely scratch the surface when it comes to the needs of commercial logistics.”.

“In Malaysia, projects like the Integrated Transport Information System (ITIS) have already shown that by working together, significant improvements in traffic management can be achieved,” Agyl revealed. Inter-modal transport was another solution, which is to shift the transport of freight from the roads to rail or sea routes, he added.

“Although rail currently handles less than five per cent of Port Klang’s cargo, there’s huge potential here,” he continued, urging increased investment in rail freight to relieve pressure on highways. And also called for a rethinking of the policy to ensure balancing of traffic management with economic efficiency.

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Lorry associations say peak-hour ban on highways will disrupt supply chains, increase industry costs

Lorry associations say peak-hour ban on highways will disrupt supply chains, increase industry costs

Earlier this month, the government introduced that from February 19, lorries would be banned from using certain highways to and. From Kuala Lumpur during peak hours in a bid to reduce traffic congestion in the Klang Valley during these periods. The move drew a response from the Association of Malaysia Hauliers (AMH), which mentioned it would reduce productivity and result in longer delivery times.

Now, other transport industry associations have chimed in about their views on the peak-hour ban, stating pretty much the same thing, that the move will cause disruptions to supply chains and. Impact members’ livelihoods, as the New Straits Times reports.

“Due to the ban, the hours for lorry drivers to transport goods will be reduced. Now, trucks will have to remain parked for several hours before resuming their journey, and this will disrupt the supply chain and increase industry cost,” mentioned Selangor and. Kuala Lumpur Lorry Operators Association secretary-general Alvin Choong.

“Highways are built to ease the transport of goods. We have to pay toll charges, but we are still restricted from driving during peak hours,” he added. Choong urged authorities to review the rules and consult stakeholders about the matter.

Moving to another aspect, this sentiment was echoed by Malaysian Tipper Lorry Operators Association secretary-general Tan Boon Hing, who revealed the restrictions would also reduce drivers’ working hours, leaving drivers with only five hours of operational time.

“Not only that. If drivers finish their delivery at 5 pm, they may be unable to return home immediately as they must wait until the pm restriction is lifted. By the time they get back, it will be pm or 9 pm. Regulations require they need enough time to rest,” he mentioned.

Malaysian Federation of Land Transport Associations supreme council member Mohamad Khairillah Md Ali also agreed that time constraints and inefficiencies caused by the ban would negatively affect drivers’ well-being.

“Because of the restrictions. Drivers won’t have enough time to load and unload goods. Worse-case scenario, drivers may not be able to leave before the afternoon restriction and they may head back only at night. Drivers have families and personal lives. When we cannot complete our work, and we are unable to go home for days, it causes stress and anger,” he stated.

He urged the government to consider other solutions instead of imposing blanket restrictions, and. Proposed that authorities look into setting up logistical hubs such as that practiced overseas, where cargo from larger lorries could be then transferred to smaller trucks to continue deliveries.

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Rivian will now sell its commercial van to any fleet, starting at $79,900

Rivian will now sell its commercial van to any fleet, starting at $79,900

Rumors leaked last week, and now it’s official: the Rivian Commercial Van is now available to order for fleets of any size, even down to a single van – but still only for businesses. Not individuals.

Rivian first showcased it would make electric delivery vans in 2019, as part of a partnership with Amazon, who ordered 100,000 of the vehicles. The organization has delivered around 20,000 of the vans to Amazon so far.

The Amazon agreement included a 4 year exclusivity period, where Rivian would only sell vans to Amazon. And no other buyers. That exclusivity period ended in November 2023, and Rivian has been offering up its van to other partners.

When that period ended, Rivian also renamed its vehicle from the “Electric Delivery Van” to “Rivian Commercial Vehicle,” indicating that it would like to sell it for purposes other than deliveries – think contractors. Handymen, food trucks (please! I hate smelling exhaust instead of food!) and so on.

It didn’t take long for Rivian to get some interest from other firms, and. We’ve seen spy photos of Rivian vans in other liveries roaming around. But we haven’t heard any other huge agreements since the exclusivity period ended.

But today, instead of aiming for large contracts and partnerships like the Amazon deal, Rivian is now introducing a fleet sales program that will take orders from fleets of any size – even as small as a single van.

The RCV comes in two separate models – RCV 500 and. RCV 700. The latter is both longer and wider, with much more cargo space.

RCV 500 RCV 700 Price $79,900 $83,900 Est. Range* 161 mi 153 mi Drivetrain FWD FWD GVWR 9,350 9,500 Payload 2,734 lbs 2,513 lbs Length in 278 in Height in in Cargo Volume 487 cu ft 652 cu ft Ground Clearance in in Wheelbase in 187 in Width (with mirrors) in in *Estimated range depends on a number of factors, including load weight. Which can vary widely on commercial vehicles.

As with most commercial sales, these are obviously the pre-upfit prices. Your final cost will depend on what sort of upfitting you need to do. Rivian says that its Fleet Sales team will work with buyers to discuss specific upfit needs, or you can always take it to whichever upfitter you already use.

But that’s one significant note here: even though Rivian is selling these vehicles to fleets of any size, they are still selling the vehicles to fleets. Not individuals. Each van must be registered to a business, so you vanlifers might be out of luck for now (or you’ll have to get creative).

Rivian says that it will start taking orders for its commercial van this month. With deliveries starting in April. So reach out to Rivian fleet sales if you want to get your business on the list.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.3%10.0%10.5%11.6%12.3%12.7%12.8%
8.3%10.0%10.5%11.6%12.3%12.7%12.8% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.9% 11.7% 12.4% 12.8%
10.9% Q1 11.7% Q2 12.4% Q3 12.8% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Connected Cars35%14.2%
Autonomous Driving22%18.5%
EV Technology28%21.9%
Telematics10%9.7%
Other Automotive Tech5%6.3%
Connected Cars35.0%Autonomous Driving22.0%EV Technology28.0%Telematics10.0%Other Automotive Tech5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Tesla16.9%
Waymo12.3%
NVIDIA DRIVE10.7%
Bosch9.5%
Continental7.8%

Future Outlook and Predictions

The Will Dynamic Proposed 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:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

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

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • 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:

Regulatory approval delays
Battery technology limitations
Consumer trust issues

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

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

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.

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platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

electric vehicle intermediate

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