Where We Are Heading Judging from innova�on trends and disrup�ve forces in urban mobility, it is realis�c to envision a future scenario where smart city residents and visitors enjoy a wider range of affordable, mul�modal, on-demand mobility op�ons. Addi�onally, conven�onal cars and ownership prac�ces are replaced by shared electric and autonomous vehicles. The Boston Consul�ng Group believes the widespread adop�on of autonomous technologies could yield substan�al benefits by elimina�ng road fatali�es and improving travel �mes by up to 40%. It could recover billions of hours lost to commu�ng and conges�on and generate total benefits to society worth USD1.3 trillion. It is predicted that close to 100% of new vehicles sold in 2025 in the developed world will be electrified (including hybrids). The rapid adop�on and posi�ve impact of electric vehicles will significantly reduce air pollu�on.
• MaaS combines and facilitates the use of mul�mode transport and shared mobility services and enables payments via a single interface • This smart urban mobility solu�on offers a mul�modal capability which bundles transport op�ons such as public transport, on-demand services, vehicle sharing, bike sharing and ride hailing • With access to the app, users can book and pay for mobility services through an integrated account Mobility Solu�ons as a Service (MaaS)
• Micromobility including systems and fleets of shared bikes and electric scooters • Micromobility systems complement each other while reducing trips from other modes • By using the mobile app, customers can book and unlock a free-floa�ng scooter and pay only for minutes of usage • This e-mobility solu�on aims to improve the customer's quality of life, contribute to urban sustainability, and reduce CO2 emission Micromobility Systems
• The driverless-vehicle technology is now being widely adopted in urban public transporta�on. With more than 25 per cent driverless rail uptake and increasing adop�on of autonomous buses in Asia, AV deploying a network of sensors, cameras, radar and LiDAR now ensure be�er road safety and improve commute �mes. Linking public transport to intelligent traffic control and management systems will increase energy efficiency, while reducing conges�on • The technology currently is at ini�al concept stage and the realiza�on on this mode of public transport will be the year of 2030 and beyond. Public Autonomous Transport
• There is an increased use of ar�ficial intelligence and machine learning enabled intelligent traffic management solu�on that provides decision support • These solu�ons offer intelligent traffic management services such as change of traffic light phases, road user informa�on, and dynamic changes in traffic capacity • They are designed to help transport authori�es meet strategic goals by minimising vehicle emission levels and reducing traffic conges�on in residen�al areas Ar�ficial Intelligence and Machine Learning in Traffic Management Solu�on
Smart Travel Assistant
• Smart travel assistant focuses on the ‘complete trip’ by advising on the best �me and method of transport to get to their des�na�on, with real-�me updates on traffic conges�on and other unexpected delays • The solu�on helps communi�es to develop comprehensive, seamless and efficient transporta�on solu�ons to increase mobility access • The goal is to enable people to travel independently fromone point to another, regardless of the number of connec�ons, transfers or modes of transporta�on • The programme focuses on holis�c approaches that create more choices and be�er access for aged communi�es, people with disabili�es and underserved communi�es in rural and small urban areas
• An es�mated 30% of traffic conges�on in urban areas is caused by drivers looking for a parking space • A cloud-based smart parking solu�on implemented in more than 15 ci�es worldwide provides parking managers with accurate data on parking space usage and also supports adap�ve street light management, intelligent traffic management and retail services for easy naviga�on in a smart city Smart Parking
42 | Malaysia Smart City Outlook 2021 - 2022
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