Mini-Car Racing For Kids Coming To Moapa Valley - mvprogress

By NICK YAMASHITA

The Progress

Young Aeden Hobbs and Halen Sunter show off their race cars during the Dan Bailey Memorial Car Show on June 12. The boys’ dads are organizing a local racing club with a new race track venue to be constructed in the Moapa Valley. PHOTO BY NICK YAMASHITA/The Progress.

A small-car racing course is coming to Moapa Valley and will play host to club racing starting this September.

The announcement came last week from local resident Jeff Hobbs, who along with Henderson resident Jesse Sunter, has been working to get the permissions and the permits needed to hold races in the Moapa Valley.

“We will just be glad to be racing,” said Hobbs during the Dan Bailey Memorial Car Show. “This is something we have been hard at work on, and we feel this community needs.”

The racetrack will be located on the northeast corner of the Clark County Fairgrounds. This unpaved area will be set up as a race track for mini-dwarf cars, mini-modified racecars, quarter midget racecars, and flatkarts.

The track is planned to be 1/22 size of a standard race track. The race track will be outlined by bales of hay and proper barriers and signage. All races will be organized under the Southern Nevada Racing Association, the regional club for these races.

“This will be a great addition to the valley,” said Hobbs. “But just for information, this will not be a rental course. You have to provide your own car.”

Hobbs and Sunter explained that the price of cars varies. Most of the cars range from $1000-$6000 to buy. However, the flatkarts can be as cheap as a couple of hundred dollars to get. Both men know a lot about the racing world as both of their sons are racers and champions at that.

Aeden Hobbs has been racing for 8 years; since he was 4 years old. Now considered a “professional” at age 13, he has multiple trophies to prove his skill and talent.

Halen Sunter has been racing for over a year now and already has won several races.
Jesse Sunter, Jr. just got into the sport.
“So we are ready to roll and excited to get racing going out here,” said Sunter, Sr.

Multiple local kids got to climb into the racecars and check things out on Saturday, June 12 at the Dan Bailey Memorial Car Show. Hobbs and Sunter were on site at the show displaying a number of the miniature cars. Smiles and excitement flooded the eyes of local kids as they checked out the cars. Parents and potential racers asked lots of questions.

“We do have to thank the local dwarf car racers like Stacy Woods, who has really helped open up the popularity of the sport,” said Hobbs.

The Moapa Valley Racetrack will be a temporary structure. The agreement with the County Parks and Rec staff requires the track to be set up and taken down for each racing event. But the extra work didn’t deter Hobbs.

“We are just happy to have a spot to race,” he said. “Yes, it will require more work, but we are racing! We are just happy to be racing!”

The season starts in September and ends in June of next year. The club fees are $150 per year and then race fees of $20 per race on average. The racing season will also be sanctioned by the Performance Open Wheel Racing, Inc.

For more information about racing contact Jeff Hobbs at (702) 885-5312 or visit the website at www.lvqm.webs.com.

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Global and China Automotive LiDAR Industry Report 2021: - GlobeNewswire

Dublin, June 23, 2021 (GLOBE NEWSWIRE) -- The "Global and China Automotive LiDAR Industry Report, 2021" report has been added to ResearchAndMarkets.com's offering.

At the 2021 Shanghai Auto Show, Huawei shocked all automakers and suppliers. Huawei has directly and indirectly supported more than 10,000 engineers in the R&D of intelligent automobiles. Except production, Huawei covers almost all of aspects required for digital transformation of automobiles: automotive perception and decision-making, network communications, electric drive, batteries, electric control, cloud-road networks outside vehicles, R&D and marketing.

Compared with the previous R&D investment involved with 1,000 persons (such as Baidu), Huawei's R&D team consisting of 10,000 persons has greatly accelerated the upgrade pace of intelligent networking of China's auto industry. When other countries around the world are still worrying about the pandemic, China will enter the era of leading the development of global automotive intelligent networking from 2021.

Take LiDAR installation as an example, the new models with LiDAR mainly come from domestic automakers.

On April 14, Xpeng's third mass production car, the P5, was launched. The biggest highlight is that it is equipped with two DJI Livox LiDARs, which can realize the NGP function on urban roads. Following NIO ET7, Great Wall Mocha, IM and SAIC ES33, P5 is another new model equipped with LiDAR.

On April 17, the ARCFOX Alpha S Huawei HI equipped with three Huawei's 96-channel LiDARs (installed on the center and both sides of the front) was officially unveiled; later, Changan's model based on the Ark architecture will also be equipped with Huawei's LiDAR.

The second model of Lixiang will also be equipped with LiDAR.

After years of development, automotive LiDAR technology roadmaps and products have been quite diversified. ResearchInChina has sorted out classification and composition of LiDAR, as shown in the figure below.

Early, LiDAR was mainly used in Robotaxi, Robotruck, Robobus, low-speed autonomous driving and roadside perception, etc. in small scale. The extensive application of LiDAR depends on the passenger car market.

As L4 technical solutions are gradually applied to L2-L3 models, LiDAR has been installed widely. LiDAR is currently available on production cars, and is mainly used to enhance ADAS functions and make new cars more appealing.

So far, domestic OEMs prefer to adopt hybrid solid-state LiDAR (including rotating mirror, prism, MEMS) solutions, mainly because:

First, it is easier to reduce the costs of hybrid solid-state LiDAR than mechanical LiDAR. Compared with pure solid-state (OPA, Flash) LiDAR, hybrid solid-state LiDAR technology is relatively mature and easier to commercialize. Second, the Rotating Mirror Solution (represented by Valeo) is the first technical solution that meets National Automotive Standards and the performance requirements of automakers, and can be supplied in batches with controllable costs. Xpeng P5 is equipped with two LiDARs (installed on both sides of the front bumper) from DJI Livox Horiz (customized version), which use the dual prism scanning solution, with the maximum detection distance of 150m (@10% reflectivity), the lateral field of view of 120 degrees, the angular resolution of 0.16*0.2, and the point cloud density equivalent to 144-channel LiDAR. Xpeng Livox LiDAR uses 905nm wavelength at the transmitting side, APD at the receiving side, and double prism at the scanning side, namely Risley prism universal pointing system, with a unique non-repetitive scanning method. ARCFOX Alpha S Huawei HI is the first model equipped with Huawei's three 96-channel LiDARs on the center and both sides of the front. Released in December 2020, the LiDAR has the maximum detection distance of 150m (@10% reflectivity), the field of view of 12025, and the resolution of 0.250.26. Combined with other sensors (6 radars, and 13 cameras and 12 ultrasonic radars), the LiDARs can achieve 360 coverage. Huawei deploys long, medium and short-range LiDARs with a rotating mirror scanning architecture. Like Valeo Scala 1, Scala 2, the LiDARs comply with National Automotive Standards and are available on cars. In addition to Huawei and Valeo, Innovusion and Luminar adopt similar technical solutions which however exploit two-axis rotating mirror scanning. They will soon conduct mass production for NIO ET7 and SAIC R ES33. Luminar LiDAR features unique technical advantages: 1550nm wavelength (mainstream: 905nm) at the transmitting side, the low-cost InGaAs detector at the receiving side, self-made fourth-generation custom ASIC chips, and a 2D rotating mirror scanning method. Luminar's Iris LiDAR based on this architecture has a detection distance of up to 250m (@5% reflectivity), and can detect dark objects on the road beyond 250m, with the resolution of up to 300PPD and the angular resolution of 12030. At the same time, it has low costs. The price of IRIS for L2 advanced assisted driving is US$500; for L4/L5autonomous driving, it is less than US$1,000. Innovusion and Luminar are alike in technology path. Both use 1550nm wavelength, fiber laser, and dual-axis rotating mirror scanning solution. In January 2021, NIO ET7 was released, equipped with Innovusion's Falcon LiDAR. It will be mass-produced in 2022Q1. In addition, RoboSense's MEMS LiDAR - RS-LiDAR-M1 will soon be carried on Lucid Air. RoboSense released the RS-LiDAR-M1 SOP in January 2021, and will start mass production and delivery of the designated project in 2021Q2. This product adopts RoboSense's patented MEMS technology, with the farthest detection distance of 200m (150m@10%), the field of view of 12025, and the resolution of 0.2x0.2. In addition to RoboSense, players using MEMS technical solution include Innoviz, AEye, Pioneer, HESAI, Leishen Intelligent Systems, Zvision, etc. The third-generation product of Valeo's is also based on MEMS technology. Innoviz's InnovizOne will be installed on the new BMW iX in 2021; Valeo MEMS is expected to see mass production around 2022.

Key Topics Covered:

1. Overview of LiDAR
1.1 Introduction to LiDAR
1.2 Composition of LiDAR
1.3 Ranging Principle of LiDAR
1.4 Classification of LiDAR
1.4.1 Mechanical type
1.4.2 Semi Solid State: MEMS
1.4.3 Pure Solid State: OPA
1.4.4 Pure Solid State: Flash
1.4.5 FMCW LiDAR
1.4.6 Comparison of LiDAR Technologies
1.5 Main Technical Parameters of LiDAR
1.6 LiDAR Industry Chain
1.6.1 Upstream
1.6.2 Downstream

2. LiDAR Market and Trends
2.1 Application Fields
2.1.1 ADAS and Autonomous Driving Are the Core Application Fields of LiDAR
2.1.2 ADAS
2.1.3 Robotaxi
2.1.4 Robotruck
2.1.5 Robobus
2.1.6 Unmanned Delivery
2.1.7 Roadside Perception
2.2 Technology and Trends
2.2.1 Core LiDAR Technology
2.2.2 Technical Solutions of Major Enterprises
2.2.3 Comparison between Core Products and Technical Solutions of Major Enterprises
2.2.4 Rotating Mirror/Prism Technology and Application
2.2.5 MEMS Scanning Technology and Application
2.2.6 Progress of VCSEL+ SPAD Technology
2.2.7 Progress of FMCW Technology
2.3 Companies and Products
2.3.1 Massive Companies, Intensified Industrial Integration
2.3.2 Reverse Takeover of Multiple Companies
2.3.3 Financing Has Become the Common Means of Subsistence for Companies
2.3.4 OEM Mass Production Cooperation Is Accelerating, and Local Vendors Are Particularly Prominent
2.3.5 Lower Price Helps LiDAR Installation
2.3.6 Mechanical LiDAR Enterprises and Products
2.3.7 Semi-solid-state LiDAR Enterprises and Products
2.3.8 Solid-state LiDAR Enterprises and Products
2.3.9 FMCW Enterprises and Products

3. Global LiDAR Vendors
3.1 Velodyne
3.2 Luminar
3.3 Innoviz
3.4 Aeva
3.5 Ouster
3.6 Ibeo
3.7 Valeo
3.8 LeddarTech
3.9 Innovusion
3.10 AEye
3.11 Quanergy
3.12 Cepton
3.13 Blickfeld
3.14 Insight LiDAR
3.15 Sense Photonics
3.16 Waymo
3.17 Mobileye
3.18 Aurora
3.19 Bosch
3.20 Continental
3.21 Aptiv
3.22 Veoneer
3.23 Xenomatix
3.24 Opsys
3.25 Infoworks
3.26 Others
3.26.1 SiLC Technologies
3.26.2 Bridger Photonics
3.26.3 Baraja
3.26.4 Pioneer
3.26.5 Cruise
3.26.6 ZF
3.26.7 LightWare

4. Chinese LiDAR Vendors
4.1 HESAI
4.2 RoboSense
4.3 Huawei
4.4 DJI Livox
4.5 Leishen Intelligent Systems
4.6 Zvision
4.7 Benewake
4.8 SureStar
4.9 Wanji Technology
4.10 Litra
4.11 Lorentech
4.12 Liushen Optoelectronics
4.13 Richbeam
4.14 Tanway
4.15 GeniusPros Technologies
4.16 AODTBJ
4.17 LuminWave
4.18 Senfoto

For more information about this report visit https://www.researchandmarkets.com/r/46434o


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Global and China Automotive LiDAR Industry Report 2021: - GlobeNewswire

Dublin, June 23, 2021 (GLOBE NEWSWIRE) -- The "Global and China Automotive LiDAR Industry Report, 2021" report has been added to ResearchAndMarkets.com's offering.

At the 2021 Shanghai Auto Show, Huawei shocked all automakers and suppliers. Huawei has directly and indirectly supported more than 10,000 engineers in the R&D of intelligent automobiles. Except production, Huawei covers almost all of aspects required for digital transformation of automobiles: automotive perception and decision-making, network communications, electric drive, batteries, electric control, cloud-road networks outside vehicles, R&D and marketing.

Compared with the previous R&D investment involved with 1,000 persons (such as Baidu), Huawei's R&D team consisting of 10,000 persons has greatly accelerated the upgrade pace of intelligent networking of China's auto industry. When other countries around the world are still worrying about the pandemic, China will enter the era of leading the development of global automotive intelligent networking from 2021.

Take LiDAR installation as an example, the new models with LiDAR mainly come from domestic automakers.

On April 14, Xpeng's third mass production car, the P5, was launched. The biggest highlight is that it is equipped with two DJI Livox LiDARs, which can realize the NGP function on urban roads. Following NIO ET7, Great Wall Mocha, IM and SAIC ES33, P5 is another new model equipped with LiDAR.

On April 17, the ARCFOX Alpha S Huawei HI equipped with three Huawei's 96-channel LiDARs (installed on the center and both sides of the front) was officially unveiled; later, Changan's model based on the Ark architecture will also be equipped with Huawei's LiDAR.

The second model of Lixiang will also be equipped with LiDAR.

After years of development, automotive LiDAR technology roadmaps and products have been quite diversified. ResearchInChina has sorted out classification and composition of LiDAR, as shown in the figure below.

Early, LiDAR was mainly used in Robotaxi, Robotruck, Robobus, low-speed autonomous driving and roadside perception, etc. in small scale. The extensive application of LiDAR depends on the passenger car market.

As L4 technical solutions are gradually applied to L2-L3 models, LiDAR has been installed widely. LiDAR is currently available on production cars, and is mainly used to enhance ADAS functions and make new cars more appealing.

So far, domestic OEMs prefer to adopt hybrid solid-state LiDAR (including rotating mirror, prism, MEMS) solutions, mainly because:

First, it is easier to reduce the costs of hybrid solid-state LiDAR than mechanical LiDAR. Compared with pure solid-state (OPA, Flash) LiDAR, hybrid solid-state LiDAR technology is relatively mature and easier to commercialize. Second, the Rotating Mirror Solution (represented by Valeo) is the first technical solution that meets National Automotive Standards and the performance requirements of automakers, and can be supplied in batches with controllable costs. Xpeng P5 is equipped with two LiDARs (installed on both sides of the front bumper) from DJI Livox Horiz (customized version), which use the dual prism scanning solution, with the maximum detection distance of 150m (@10% reflectivity), the lateral field of view of 120 degrees, the angular resolution of 0.16*0.2, and the point cloud density equivalent to 144-channel LiDAR. Xpeng Livox LiDAR uses 905nm wavelength at the transmitting side, APD at the receiving side, and double prism at the scanning side, namely Risley prism universal pointing system, with a unique non-repetitive scanning method. ARCFOX Alpha S Huawei HI is the first model equipped with Huawei's three 96-channel LiDARs on the center and both sides of the front. Released in December 2020, the LiDAR has the maximum detection distance of 150m (@10% reflectivity), the field of view of 12025, and the resolution of 0.250.26. Combined with other sensors (6 radars, and 13 cameras and 12 ultrasonic radars), the LiDARs can achieve 360 coverage. Huawei deploys long, medium and short-range LiDARs with a rotating mirror scanning architecture. Like Valeo Scala 1, Scala 2, the LiDARs comply with National Automotive Standards and are available on cars. In addition to Huawei and Valeo, Innovusion and Luminar adopt similar technical solutions which however exploit two-axis rotating mirror scanning. They will soon conduct mass production for NIO ET7 and SAIC R ES33. Luminar LiDAR features unique technical advantages: 1550nm wavelength (mainstream: 905nm) at the transmitting side, the low-cost InGaAs detector at the receiving side, self-made fourth-generation custom ASIC chips, and a 2D rotating mirror scanning method. Luminar's Iris LiDAR based on this architecture has a detection distance of up to 250m (@5% reflectivity), and can detect dark objects on the road beyond 250m, with the resolution of up to 300PPD and the angular resolution of 12030. At the same time, it has low costs. The price of IRIS for L2 advanced assisted driving is US$500; for L4/L5autonomous driving, it is less than US$1,000. Innovusion and Luminar are alike in technology path. Both use 1550nm wavelength, fiber laser, and dual-axis rotating mirror scanning solution. In January 2021, NIO ET7 was released, equipped with Innovusion's Falcon LiDAR. It will be mass-produced in 2022Q1. In addition, RoboSense's MEMS LiDAR - RS-LiDAR-M1 will soon be carried on Lucid Air. RoboSense released the RS-LiDAR-M1 SOP in January 2021, and will start mass production and delivery of the designated project in 2021Q2. This product adopts RoboSense's patented MEMS technology, with the farthest detection distance of 200m (150m@10%), the field of view of 12025, and the resolution of 0.2x0.2. In addition to RoboSense, players using MEMS technical solution include Innoviz, AEye, Pioneer, HESAI, Leishen Intelligent Systems, Zvision, etc. The third-generation product of Valeo's is also based on MEMS technology. Innoviz's InnovizOne will be installed on the new BMW iX in 2021; Valeo MEMS is expected to see mass production around 2022.

Key Topics Covered:

1. Overview of LiDAR
1.1 Introduction to LiDAR
1.2 Composition of LiDAR
1.3 Ranging Principle of LiDAR
1.4 Classification of LiDAR
1.4.1 Mechanical type
1.4.2 Semi Solid State: MEMS
1.4.3 Pure Solid State: OPA
1.4.4 Pure Solid State: Flash
1.4.5 FMCW LiDAR
1.4.6 Comparison of LiDAR Technologies
1.5 Main Technical Parameters of LiDAR
1.6 LiDAR Industry Chain
1.6.1 Upstream
1.6.2 Downstream

2. LiDAR Market and Trends
2.1 Application Fields
2.1.1 ADAS and Autonomous Driving Are the Core Application Fields of LiDAR
2.1.2 ADAS
2.1.3 Robotaxi
2.1.4 Robotruck
2.1.5 Robobus
2.1.6 Unmanned Delivery
2.1.7 Roadside Perception
2.2 Technology and Trends
2.2.1 Core LiDAR Technology
2.2.2 Technical Solutions of Major Enterprises
2.2.3 Comparison between Core Products and Technical Solutions of Major Enterprises
2.2.4 Rotating Mirror/Prism Technology and Application
2.2.5 MEMS Scanning Technology and Application
2.2.6 Progress of VCSEL+ SPAD Technology
2.2.7 Progress of FMCW Technology
2.3 Companies and Products
2.3.1 Massive Companies, Intensified Industrial Integration
2.3.2 Reverse Takeover of Multiple Companies
2.3.3 Financing Has Become the Common Means of Subsistence for Companies
2.3.4 OEM Mass Production Cooperation Is Accelerating, and Local Vendors Are Particularly Prominent
2.3.5 Lower Price Helps LiDAR Installation
2.3.6 Mechanical LiDAR Enterprises and Products
2.3.7 Semi-solid-state LiDAR Enterprises and Products
2.3.8 Solid-state LiDAR Enterprises and Products
2.3.9 FMCW Enterprises and Products

3. Global LiDAR Vendors
3.1 Velodyne
3.2 Luminar
3.3 Innoviz
3.4 Aeva
3.5 Ouster
3.6 Ibeo
3.7 Valeo
3.8 LeddarTech
3.9 Innovusion
3.10 AEye
3.11 Quanergy
3.12 Cepton
3.13 Blickfeld
3.14 Insight LiDAR
3.15 Sense Photonics
3.16 Waymo
3.17 Mobileye
3.18 Aurora
3.19 Bosch
3.20 Continental
3.21 Aptiv
3.22 Veoneer
3.23 Xenomatix
3.24 Opsys
3.25 Infoworks
3.26 Others
3.26.1 SiLC Technologies
3.26.2 Bridger Photonics
3.26.3 Baraja
3.26.4 Pioneer
3.26.5 Cruise
3.26.6 ZF
3.26.7 LightWare

4. Chinese LiDAR Vendors
4.1 HESAI
4.2 RoboSense
4.3 Huawei
4.4 DJI Livox
4.5 Leishen Intelligent Systems
4.6 Zvision
4.7 Benewake
4.8 SureStar
4.9 Wanji Technology
4.10 Litra
4.11 Lorentech
4.12 Liushen Optoelectronics
4.13 Richbeam
4.14 Tanway
4.15 GeniusPros Technologies
4.16 AODTBJ
4.17 LuminWave
4.18 Senfoto

For more information about this report visit https://www.researchandmarkets.com/r/46434o


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45 Hits

Automotive Transmission Pump Market to Witness Notable Growth by 2027 – The Courier - The Courier

This comprehensive Automotive Transmission Pump market report provides genuine information of the global market statistics and status. Its scope study expands from market situation to comparative pricing among the chief players, expense of the specific market areas and profits. It represents a comprehensive and in-brief analysis report of the prime competitor and the pricing statistics with a view to aid the beginners establish their place and survive in the market. Furthermore, it also focuses on the overall overview of the market for the upcoming period of 2021 to 2027. This has proved to be of a great help to the entrepreneurs. This in-detail market study is highly based on the information received from interviews with the leading executives, research and innovative resources.

Get the complete sample, please click:
https://www.globalmarketmonitor.com/request.php?type=1&rid=642198

Several new firms have entered the market and have begun to implement new tactics, expansions, technological developments, and long-term contracts in order to control the worldwide industry and secure their position. It provides regional analysis and includes significant regions such as Europe, Asia Pacific, North America, Latin America, and the Middle East & Africa, in addition to focusing on prominent segments. With the regular introduction of new technologies, market participants are always exerting effort and seeking to integrate the most up-to-date technology in order to stay competitive in the market. The impact of such breakthroughs on the market’s future advancement and development is also captured in a professional as well as comprehensive way in this Automotive Transmission Pump market report.

Major Manufacture:
Hitachi
EMP
Shenglong Group
Mahle
TRW
Toyo Advanced Technologies
Powertrain
Chang Zheng Power Machine Fitting
Power & Pumps, Inc.
SHW
Fuxin Dare Automotive Parts
Mitsubishi Electric Corporation
Nidec
Hunan Oil Pump
Cascon
FTE automotive
Johnson Electric
Magna
Tsang Yow
Pierburg
Bosch Rexroth
Rheinmetall Automotive AG

Buy Now at a Favorable Discount Price:
https://www.globalmarketmonitor.com/request.php?type=3&rid=642198

Market Segments by Application:
Passenger Car
Lcv
Hcv

Type Synopsis:
Fixed displacement pump
Variable displacement pump

Table of Content
1 Report Overview
1.1 Product Definition and Scope
1.2 PEST (Political, Economic, Social and Technological) Analysis of Automotive Transmission Pump Market

2 Market Trends and Competitive Landscape
3 Segmentation of Automotive Transmission Pump Market by Types
4 Segmentation of Automotive Transmission Pump Market by End-Users
5 Market Analysis by Major Regions
6 Product Commodity of Automotive Transmission Pump Market in Major Countries
7 North America Automotive Transmission Pump Landscape Analysis
8 Europe Automotive Transmission Pump Landscape Analysis
9 Asia Pacific Automotive Transmission Pump Landscape Analysis
10 Latin America, Middle East & Africa Automotive Transmission Pump Landscape Analysis
11 Major Players Profile

The information is highlighted at regional level to express the sales, growth and revenue of the particular regions. It reveals about the potential shortages and issues faced by many important industries. It focuses on macro-economic pointers along with principal market trends. It also displays competition in the market among the main profiles and the companies. Some of the key factors includes in this market report covers the crucial factors like end-user market information, channel features and key players.

In-depth Automotive Transmission Pump Market Report: Intended Audience
Automotive Transmission Pump manufacturers
Downstream vendors and end-users
Traders, distributors, and resellers of Automotive Transmission Pump
Automotive Transmission Pump industry associations and research organizations
Product managers, Automotive Transmission Pump industry administrator, C-level executives of the industries
Market Research and consulting firms

Interviews with major market industry experts, local methods, and primary research were used to compile the data for this market study. This business study also includes advanced figures and knowledge about the global situation. This Market Study conducts a thorough review of the market and provides market analysts’ opinions on the market’s growth in light of current market conditions and future projections. This market research also focuses on market driving drivers, a market summary, market volume, and market share.
Since this market report outlines an effective marketing approach, key players will benefit handsomely from making the right market investments. Since this market report depicts the constantly changing customer requirements, retailers, and purchasers in various regions, it is easy to target particular resources and make a significant revenue in the global market. This Automotive Transmission Pump market report also considers the effect of such advances and innovations on the market’s growth prospects.

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Cities 'must become car-free to survive' - Phys.org

cityCredit: CC0 Public Domain

Cities must become fully car-free in order to be liveable in the future, according to the UCL experts behind a new modeling report looking at urban car use.

The experts have called for a shift in collective behavior to reduce the number of private cars in cities. Globally, the number of cars produced is increasing faster than the population; 80m cars were produced in 2019, while the population increased by 78m.

The researchers said future planning must include a focus on reducing dependence on cars, promoting fewer and shorter trips and encouraging walking and cycling as primary modes of local transport. Public transport should be encouraged for longer journeys, the researchers argued, and cars should only be used for emergencies or special occasions.

For the paper, published in Royal Society Open Science, researchers created a mathematical model of car use in a city, where residents either used a car on a daily basis or used . Estimated costs were the length of time journeys take because this is the biggest factor when deciding how to travel, with the baseline for the model being driving with no traffic.

Lead author Dr. Rafael Prieto Curiel commented: "The city of the future, with millions of people, cannot be constructed around cars and their expensive infrastructure. In a few decades, we will have cities with 40 or 50 million inhabitants, and these could resemble car parks with 40 or 50 million cars. The idea that we need cars comes from a very pollutant industry and very expensive marketing."

Using the model, the researchers found one extreme scenario for a city with 50 million inhabitants and 50 million cars, where all residents use a car on a daily basis to try to minimize their commute time. As a result, the city experiences the highest levels of congestion and requires more infrastructure such as avenues, bridges and car parks to accommodate so many cars.

In this scenario, where everyone tries to reduce their commute times by driving, they instead reach the worst-case scenario. This is where the cost (commuting time) that everyone puts on the streets by driving creates a paradox where commuting times are at the maximum.

It is generally assumed that improving public transport infrastructure would improve baseline costs (time) as more residents opt for this over driving. The model showed that even without improving infrastructure, baseline costs could be lowered by reducing the number of people allowed to drive at a time.

For example, if one group of people is allowed to drive one week and must use other modes of transport the next, the average commuting time could be reduced by up to 25% with a non-selfish modal share where the number of cars on the road is reduced. This would lead to less congestion and a faster city on average.

Decreasing car use in cities depends mainly on providing citizens with more travel options, plus local shops and services. Ensuring residents understand the local costs of car use can help individuals make informed choices, while interventions such as congestion charges, tolls and driving and parking controls can further help to discourage car use.

Global car production—including electric cars—contributes 4% of total carbon dioxide emissions. Other associated costs include petrol and electricity use, the materials and infrastructure required, and congestion generated by high volumes of cars.

Some cities have implemented some of the above-mentioned interventions. London, whilst being an example of a city where public transport is highly used, has implemented congestion charging and low emission zones.

Mexico City, for example, has banned some vehicles based on their , but the policy has led to an overall increase in cars as drivers buy older, cheaper and therefore more polluting cars to get around the restrictions.

The experts conclude from the model that encouraging people to take alternative modes of transport is key is to making driving less appealing. Making public transport faster, reliable, secure and comfortable is also essential.

Report author Dr. Humberto González Ramírez (Université Gustave Eiffel) said: "Currently, much of the land in cities is dedicated to cars. If our goal is to have more liveable and sustainable cities, then we must take part of this land and allocate it to alternative modes of transportation: walking, cycling and public transport."

The mathematical model can be applied to any city. It is particularly useful when applied to cities where more than 90% of journeys are by car, such as in the US cities of Dallas, Houston and Detroit.

Promoting sustainable is the objective of many cities and a core part of one of the UN's Sustainable Development Goals.

Explore further

More information:A paradox of traffic and extra cars in a city as a collective behaviour,Royal Society Open Science,royalsocietypublishing.org/doi/10.1098/rsos.201808

Journal information: Royal Society Open Science

Provided by University College London

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