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INRIX: Congestion Costs Each American 97 hours, $1,348 A Year

Vlad Poptamas

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Photo source: inrix.com
Reading Time: 4 minutes

 

INRIX, Inc., the world leader in mobility analytics and connected car services, today published the 2018 Global Traffic Scorecard that identified and ranked congestion and mobility trends in more than 200 cities, across 38 countries. Americans lost an average of 97 hours a year due to congestion, costing them nearly $87 billion in 2018, an average of $1,348 per driver.

In the U.S., the 2018 Global Traffic Scorecard analyzed congestion and the severity of it in the top 60 urban areas. Boston(164 hours lost due to congestion) and Washington D.C. (155 hours) ranked as the most congested two cities in the U.S., over 15 hours per year more than the next most congested cities, Chicago (138 hours) and Seattle (138 hours). While famous for its congestion, Los Angeles’ (ranked fifth in impact; 128 hours lost in 2018) constant gridlock does not have the severity as the other top-ranked cities due to its sprawling geography and massive road network.

Boston drivers lost up to $2,291 per year due to congestion, followed by Washington D.C. ($2,161), Seattle ($1,932), Chicago($1,920) and New York City ($1,859). Wichita, Kan., had the lowest cost of congestion among the U.S. cities studied at $304 per driver.

New York City was also one of the country’s most congested metros, with the ‘last mile’ taking drivers seven minutes. In contrast, Los Angeles (four minutes) has employment across a wider geographic area, preventing severe downtown congestion experienced in more centralized cities.

“Congestion costs Americans billions of dollars each year. It will continue to have serious consequences for national and local economies, businesses and citizens in the years to come,” said Trevor Reed, transportation analyst at INRIX. “If we’re to avoid traffic congestion becoming a further drain on our economy, we must invest in intelligent transportation systems to tackle our mobility challenges.”

Table 1: 10 Most Congested Urban Areas in the U.S.

2018 Impact
Rank (2017)
Urban Area Hours Lost
in
Congestion
(Rank 2018)
Year Over
Year Change
Intercity Last
Mile-Travel
Time
(minutes)
Intercity
Last-Mile
Speed
(MPH)
Cost of
Congestion
(per driver)
Cost of
Congestion
(per city)
1 (1) Boston, MA 164 (1) -10% 6 11 $2,291 $4.1B
2 (2) Washington,
DC
155 (2) -3% 5 11 $2,161 $4.6B
3 (5) Chicago, IL 138 (4) 4% 5 12 $1,920 $6.2B
4 (3) New York
City, NY
133 (5) -4% 7 9 $1,859 $9.5B
5 (4) Los Angeles,
CA
128 (6) 0% 4 14 $1,788 $9.3B
6 (6) Seattle, WA 138 (3) 0% 6 10 $1,932 $2.9B
7 (11) Pittsburgh, PA 127 (7) 5% 5 13 $1,776 $1.2B
8 (7) San
Francisco,
CA
116 (9) -5% 6 10 $1,624 $3.4B
9 (10) Philadelphia,
PA
112 (10) 0% 6 10 $1,568 $3.3B
10 (8) Portland, OR 116 (8) -9% 5 13 $1,625 $1.4B

The Most Congested Corridors in the U.S.

For the fourth year in a row, the Cross Bronx Expressway (I-95) in New York City tops the INRIX list of worst corridors, with drivers wasting a total of 114 hours per year at peak hours in congestion. The list of corridors is dominated by the Top 5 most congested cities in the U.S., accounting for nine of the 10 worst. Surprisingly, Washington D.C., number two in the most congested cities ranking, does not have any corridors that appear on the list. Despite extreme levels of congestion, traffic is diffusely across the region and concentrated to a high degree on major arterials.

Table 2: 10 Most Congested U.S. Roads in 2018

Rank City Road Name From To Daily Delay
(minutes)
Yearly Delay
(hours)
1 New York
City
Cross Bronx
Expressway
Bruckner
Expressway
Trans Manhattan
Expressway
29 114
2 Chicago I-94|I-90 Stevenson
Expressway
I-294 26 102
3 Chicago I-290 (Eisenhower
Expressway)
I-94 I-294 23 93
4 Los Angeles I-10 I-405 I-110 19 74
5 Pittsburgh I-376 I-79 Pennsylvania
Turnpike
18 72
6 Philadelphia I-76 I-476 I-676 13 53
7 Boston I-93 Massachusetts
Ave. Connector
Braintree 13 53
8 New York
City
I-278 Brooklyn
Queens Expressway
Long Island
Expressway
Manhattan
Bridge
13 51
9 Los Angeles I-5 Hollywood I-110 13 50
10 New York
City
I-87 Major Deegan
Expressway
Robert F. Kennedy Bridge Cross Bronx
Expressway
12 49

How U.S. Cities Compare to Top Cities Worldwide

At the global level, Moscow topped the list of the world’s most gridlocked cities (210 hours lost due to congestion) when weighting for population, followed by Istanbul, Bogota, Mexico City and São Paulo. The dominance of Latin American cities should not be a surprise due to their rapid urbanization, high levels of informal settlements, unforgiving topographies and financial volatility. Boston was the only U.S. representative in the top 10 most congested cities in the world.

Table 3: 10 Most Congested Cities in the World in 2018

2018 Impact
Rank (2017)
Urban Area Country Region Hours Lost in
Congestion
(Rank 2018)
Year Over
Year Change
1 (1) Moscow Russia Europe 210 (10 ) -12%
2 (3) Istanbul Turkey Europe 157 (32 ) 6%
3 (2) Bogota Colombia South America 272 (1 ) -5%
4 (4) Mexico City Mexico South America 218 (9 ) 3%
5 (5) São Paulo Brazil South America 154 (39 ) -1%
6 (6) London United Kingdom Europe 227 (6 ) 1%
7 (8) Rio de Janeiro Brazil South America 199 (13 ) 15%
8 (7) Boston, MA United States North America 164 (25 ) -6%
9 (9) Saint Petersburg Russia Europe 200 (12 ) -5%
10 (13) Rome Italy Europe 254 (2 ) 16%

Good data is the first step in tackling congestion. Applying big data to create intelligent transportation systems is key to solving urban mobility problems. INRIX data and analytics on traffic, parking and population movement help city planners and engineers make data-based decisions to prioritize spending in order to maximize benefits and reduce costs now and for the future.

The key findings of the INRIX 2018 Global Traffic Scorecard provide a quantifiable benchmark for governments and cities across the world to measure progress to improve urban mobility and track the impact of spending on smart city initiatives.

Please visit www.inrix.com/scorecard for:

  • Full 2018 Global Traffic Scorecard report, including rankings for the U.S., U.K. and Germany
  • Global infographic
  • Interactive webpage with data and information for more than 200 cities and 38 countries
  • Complete methodology

SOURCE INRIX

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Artificial Intelligence

Human Horizons Launches a Premium All-Electric Smart Car Brand HiPhi and Its First Production-Ready Vehicle HiPhi 1

Vlad Poptamas

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Human Horizons Launches a Premium All-Electric Smart Car Brand HiPhi and its First Production-Ready Vehicle HiPhi 1
Reading Time: 1 minute

 

HiPhi is a premium brand created by Human Horizons and enhanced by its users. The first production ready vehicle, HiPhi 1, integrates and develops world leading technologies, establishes a unique design philosophy and embeds sustainability as a core product development principle. HiPhi 1 is targeted at the growing global high technology, luxury market.

Human Horizons pursues a human-oriented philosophy and applies human-centric intelligence to advance the transformation of future human mobility. Its holistic solution consists of the development of smart vehicles, smart transportation and smart cities.

Human Horizons hopes to promote the development of the Vehicle-Road-City ecosystem through perception collaboration, computing collaboration, intelligence collaboration to ultimately transform individual intelligence to swarm intelligence.

Ding Lei, founder of Human Horizons believes that truly smart vehicles should seamlessly connect to the world of the Internet, IoT and IoE. They act as a node within the city linking the vehicle-road-city ecosystem together to enable the free flow of technical data. A smart vehicle will adapt itself and become more intelligent over time.

HiPhi 1 is equipped with more than 500 sensors and the first production car with a 5G-V2X enabled communication network. In addition, HiPhi 1 introduces the world’s first Human Oriented Architecture (HOA), featuring a software-developer enabled platform within the electric and electrical (E/E) architecture which allows functions to be created that are both adaptive and self-learning. Together, these provide a new level of customer experience that can continuously evolve over time. Artificial Intelligence learns and adjusts a substantial number of vehicle parameters based on the occupants’ habits and preferences.

 

SOURCE Human Horizons

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Artificial Intelligence

TVS Motor Singapore to Invest US$7 Million in Scienaptic Systems, an AI Powered Decision Platform

Vlad Poptamas

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Photo source: bwautoworld.businessworld.in
Reading Time: 2 minutes

 

TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$7 million in Scienaptic Systems Inc., a Delaware corporation, headquartered in New York City. TVS Motor (Singapore) Pte. Limited led this Series A funding in Scienaptic. The closing of the investment is subject to obtaining appropriate regulatory approvals.

Scienaptic has combined latest big data technologies and proprietary machine learning and artificial intelligence algorithms on its decision platform, “Ether.” Solutions built on Ether enable enterprises to improve risk and credit assessment, monitor evolving fraud patterns, and improve customer journeys and experience. Scienaptic counts several marquee Fortune 100 enterprises as its clients.

Rajesh Narasimhan, Board Member of TVS Motor Company and CEO of TVS Motor (Singapore), stated that, “We evaluated many companies providing big data analytics and risk management solutions and found Scienaptic’s product offerings and solutions with their ability to help organizations leverage actionable insights through the power of a strong analytics platform to be a clear differentiator and a unique proposition. Scienaptic’s end-to-end data analytics solution, with applicability to customers in various industries, has the potential to generate a new profit stream for our group. We are happy to invest in, and strategically partner with, Scienaptic as they continue to pursue bottom-line impact for Fortune 100 companies, and to leverage Scienaptic for our businesses. Our current investment in Scienaptic is part of the initial set of investments being made in strategically relevant digital startups.”

Pankaj Kulshreshtha, Founder & CEO of Scienaptic added, “We are witnessing the adoption of our AI platform at Fortune 100 companies. With the cutting edge instruments on our platform, companies are able to drive adoption of AI in their processes. The investment by TVS enables us to accelerate our sales and product development. We found a significant match in value systems between the two organizations and believe that our collective strengths will enable Scienaptic to grow exponentially and become a global leader in AI-powered decisioning space.”

 

SOURCE TVS Motor

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Artificial Intelligence

AI-led start-up UVeye raises $31 million led by Toyota Tsusho, Volvo Cars and W. R. Berkley Corporation

Vlad Poptamas

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Photo source: uveye.com
Reading Time: 2 minutes

 

Israeli company UVeye, which provides sophisticated solutions for automatic external inspection of vehicles, has raised an additional $31 million in funding, led by Toyota Tsusho, Volvo Cars and W. R. Berkley Corporation, bringing total funds raised since 2017 to $35 million.

“This latest investment including leading automotive strategic partners is an important signal that we believe paves the way for UVeye to become the standard of automotive inspection and safety,” said Amir Hever, CEO of UVeye. “We are delighted to have world-class companies in their respective sectors endorse our game-changing auto-scanning solution.”

UVeye’s technology enables vehicle manufacturers, logistic operators, retailers and rental-car companies to carry out automatic vehicle inspection leveraging first-of-its-kind artificial intelligence, purpose-built for vehicles. Importantly, UVeye’s system has proven it can drive higher accuracy and improve efficiency, all with minimal human intervention.

UVeye’s drive-through systems can detect external and mechanical flaws and identify anomalies, modifications or foreign objects – both along the undercarriage and around the exterior of the vehicle. The scanning process completes within a matter of seconds and can be used throughout the entire lifecycle of the vehicle. The technology is being actively deployed today across many use cases, from the vehicle manufacturing line – the moment components are placed on the conveyor belt through end-of-line inspection – to logistics, maintenance and beyond.

Since inception, UVeye has generated millions of vehicle scans across dozens of countries. UVeye’s anomaly detection accuracy rate has exceeded client thresholds in all case studies to date.

In conjunction with today’s announcement, Volvo Cars and Toyota Tsusho intend to use UVeye’s inspection systems at various sites internationally, including Volvo Cars factories, dealerships and in the aftermarket. For Toyota Tusho, UVeye also will support distribution to used-car centers and throughout the company’s footprint within the Japanese auto market. UVeye welcomes these new relationships, adding to existing partnerships with Skoda and Daimler, according to Hever.

“Premium quality standards are at the core of the Volvo brand, and we are intrigued by the possibilities that UVeye’s technology offers,” said Zaki Fasihuddin, CEO of the Volvo Cars Tech Fund. “This type of advanced scanning technology could allow us to take the next step in quality.”

According to Mike Nannizzi, director of Fintech investments from W. R. Berkley Corporation:  “When we made our initial investment in UVeye two years ago, we believed its system could have game-changing impact within security and inspection applications globally, and today’s announcement validates that early hypothesis. We congratulate UVeye, Toyota Tsusho and Volvo Cars for building a cohesive partnership with enormous potential.”

 

SOURCE UVeye

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