DOCOMO’s AI system optimizes micromobility management, including vehicle reallocation and battery replacement

Enables inexperienced personnel to work efficiently and simplifies calculation of best logistics routes in new territories


NTT DOCOMO, INC. announced it has launched the Sharing Operation Optimization System, which uses AI to optimize operations for maintaining effective allocations of shared micromobility vehicles and replacing depleted batteries used by these vehicles.

The system was adopted by DOCOMO BIKE SHARE, INC., the provider of a bicycle-sharing service that allows users to reserve electric-assist bikes at the most convenient bike station, ride comfortably around the city, and then freely choose their preferred return station. Hereafter, the system will be gradually deployed throughout Tokyo to manage the companys shared-bike fleet.

Micromobility-sharing services allow users to easily rent bicycles and other small, lightweight vehicles and then conveniently return them to any station operated by the service. As the number of sharing-service users continues to grow globally, the corresponding increases in vehicles and renting/returning stations is making it difficult to ensure that vehicles in each fleet are optimally allocated and equipped with charged batteries at all times.

DOCOMOs new system uses AI to generate optimized plans for collecting and reallocating vehicles and replacing spent batteries. The system uses machine learning to simulate vehicle movements in order to predict the availability of vehicles and charged batteries at each station. Maintenance personnel can then use tablets or other mobile devices to view precisely which vehicles need to be trucked to other stations and which batteries need to be replaced for maximum operational efficiency.

The system forecasts rental/return trends based on a variety of data, such as in-use and returned vehicles, weather forecasts, date and time, travelling distances between stations, and each trucks storage capacity as well as quantities of vehicles and batteries on board any truck at any time. Using this information, the system generates an optimized reallocation plan, including the best transport routes. The system enables personnel with less experience to function as efficiently as experienced staffers. It is also expected to help operators to develop efficient operating routes in new territories.

Going forward, DOCOMO will continue to assess the systems performance, including its forecasting accuracy and the effectiveness of its recommended routes for bike reallocation, based on which the company expects to further upgrade the system and adapt the technology for supply-and-demand optimization in various other fields.

AppendixSystem Overview

DOCOMOs Sharing Operation Optimization System consists of three technologies: demand forecasting, simulations and reallocation planning.

1. Demand Forecasting Technology

Demand forecasting technology makes hourly predictions of how many vehicles will be in use and how many will be available at each station over the next 24 hours. In addition to real-time data, the system takes into account other data such as weather forecasts and dates and times. It has been shown to have the capacity to accurately forecast changing variations in vehicle demand.

2. Simulation Technology

This technology uses Multi-Agent Simulations*1 to project the precise movements among stations by the shared vehicles and their logistical-support trucks. The movement of each vehicle is forecasted using real-time data and statistics, including the probability of vehicles moving between specific stations and predicted demand at each station. Using these input values, the system forecasts the number of vehicles at each station and the remaining charge of each vehicles battery. Simulations are run every 10 minutes to enable the reallocation plan to be continuously updated.

3. Reallocation Planning Technology

Reallocation planning technology uses the simulation results to generate joint optimization plans*2 for vehicle collection/reallocation and battery replacement at each station, including the order in which trucks should visit stations and which transport routes to take. Forecasts of conditions in coming hours support the prioritization of battery replacements at the busiest stations, collections at stations where vehicle returns are expected to spike, etc., helping inexperienced personnel to work more efficiently and operators to develop efficient operating routes in new territories.

  1. Replicates the behavior of people interacting with others and their surrounding environments, such as when growing numbers of people avoid an increasingly crowded road, thereby changing the overall flow of people.
  2. Computational process to maximize or minimize evaluation values calculated from the combination of several different indicators by repeatedly performing appropriate actions on functions that are controllable by the system.


NTT DOCOMO, INC., Japans leading mobile operator with over 86 million subscriptions, is one of the worlds foremost contributors to 3G, 4G and 5G mobile network technologies. Beyond core communications services, DOCOMO is challenging new frontiers in collaboration with a growing number of entities (+d partners), creating exciting and convenient value-added services that change the way people live and work. Under a medium-term plan toward 2020 and beyond, DOCOMO is pioneering a leading-edge 5G network to facilitate innovative services that will amaze and inspire customers beyond their expectations.

Hong Kong – Planned system enhancement for the Faster Payment System on October 30, 2022

Planned system enhancement for the Faster Payment System on October 30, 2022


The following is issued on behalf of the Hong Kong Monetary Authority: 

     The Faster Payment System (FPS) service will not be available from 1am to 11am on October 30, 2022 (Sunday) due to a planned system enhancement, carried out by the Hong Kong Interbank Clearing Limited, the operator of the FPS. 

     The Hong Kong Monetary Authority has requested banks and stored value facility (SVF) operators to provide advance and timely notifications to their customers. Members of the public may contact individual banks or SVF operators for more details regarding the availability of the related FPS services that may be affected by the system enhancement. In case of need, members of the public may make advance arrangements for their payment activities.

Food-tracking AI system developed to reduce malnutrition in LTC homes

New technology automatically records and tracks how much food residents consume


New technology could help reduce malnutrition and improve overall health in long-term care homes by automatically recording and tracking how much food residents consume.

The smart system, developed by researchers at the University of Waterloo, the Schlegel-UW Research Institute for Aging and the University Health Network, uses artificial intelligence software to analyze photos of plates of food after residents have eaten.

The sophisticated software, which examines colour, depth, and other photo features, can estimate how much of each kind of food has been consumed and calculate its nutritional value.

“Right now, there is no way to tell whether a resident ate only their protein or only their carbohydrates,” said Kaylen Pfisterer, who co-led the research with her husband, Robert Amelard, while earning a PhD in systems design engineering at Waterloo.

“Our system is linked to recipes at the long-term care home and, using artificial intelligence, keeps track of how much of each food was eaten to make sure residents are meeting their specific nutrient requirements.”

It is estimated that more than half of residents of long-term care homes are either malnourished or at risk of malnutrition.

Food intake is now primarily monitored by staff who manually record estimates of consumption by looking at plates once residents have finished eating.

Amelard, a Waterloo alumnus and postdoctoral fellow at University Health Network, said studies show the subjectivity of that process results in an error rate of 50 per cent or more. By comparison, the automated system is accurate to within five per cent, “providing fine-grained information on consumption patterns.”

Researchers collaborated with personal support workers, dietitians and other long-term care workers to develop the system, which saves time as well as improves accuracy and would ideally be added to tablet computers already used by front-line staff to keep electronic records.

“My vision would be to monitor and leverage any changes in food intake trends as yellow or red flags for the health status of residents more generally and for monitoring infection control,” said Pfisterer, now a scientific associate at the University Health Network Centre for Global eHealth Innovation.

The research team also included Heather Keller, a professor of kinesiology and health sciences, Alexander Wong, a systems design engineering professor, and students Audrey Chung, Braeden Syrnyk and Alexander MacLean.

A paper on their work, Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes, appears in the journal Scientific Reports.

Notification issued for Fire Alarm system and Fire protection system in Passenger Compartment in buses

The Ministry of Road Transport and Highways, vide notification dated 27th January 2022, has introduced the Fire Alarm System and Fire Protection System in the Passenger (or, Occupant) Compartment in buses through an amendment in the AIS (Automotive Industry Standard)-135 for Type III buses [‘Type III’ Vehicles are those designed and constructed for long distance passenger transport, for seated passengers ] and School Buses.

At present, fire detection, alarm and suppression systems are notified for fires originating from the engine compartment, as per AIS-135. Studies on fire incidents indicate that injuries to passengers are mainly due to heat and smoke in the passenger compartment. These injuries can be prevented if the heat and smoke in the passenger compartment is controlled by providing an additional evacuation time to  occupants by thermal management during fire incidents.

A water mist- based active fire protection system and  a standalone fire alarm system for buses has been designed to manage the temperature in the passenger compartment within 50 degrees centigrade.

This amendment to the Standard has been undertaken in consultation with  stakeholders and experts from the Centre for Fire Explosive and Environment Safety (CFEES), a DRDO establishment, working in the area of fire risk assessment, fire suppression technologies, modelling and simulation etc.

Click here to see GSR Fire Alarm System



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The power system in the North East has developed tremendously: Union Power Minister

Ministry of Power

The power system in the North East has developed tremendously: Union Power Minister

Union Minister Shri RK Singh holds review meeting with Power Ministers of North Eastern states at Guwahati today

Posted On:
03 DEC 2021 6:31PM by PIB Guwahati

Shri RK Singh, Union Minister for Power and New & Renewable Energy held a review meeting with the Power Ministers and concerned officers of  North Eastern states here today. The meeting was held to discuss the  Revamped Distribution Sector Scheme.

Union @MinOfPower & @mnreindia Minister Shri @RajKSinghIndia at the review meeting of Revamped distribution sector scheme with Power Ministers of all North Eastern states at #Guwahati today@PIB_India @MIB_India

— PIB in Assam (@PIB_Guwahati) December 3, 2021

Shri Singh in his address said that power is the key to development and  a country can’t develop until and unless it has a seamless power supply. He further said that power is the most crucial element when it comes to the establishment of industries which is the core factor in a nation’s progress. Power sector has witnessed tremendous growth over the past few years in the areas of generation, transmission and distribution and the objective is to give 24×7 power supply to every household in the rural and urban areas of the country and to make India a world leader in power production , he added.

The minister informed that the availability of power in the country including North East has gone up to an average of around 21 hours per day in rural areas and 23 hours in urban areas.

Mentioning about the  power system in the North East region the minister said that  in the past three-four years the power system in the North East has developed tremendously and almost all states in the region have managed to revamp their power system. Today the power system in the North East is very different than what it was  4 years back, he added.

Talking about the Revamped Distribution Scheme, Shri Singh said that this scheme will help to reduce the losses. He underlined  that the increasing demand for electricity has necessitated the strengthening and modernization of the Distribution infrastructure.  The minister further added that Implementation of the Scheme would lead to consumer empowerment by way of prepaid Smart metering. The scheme provides financial support for Prepaid Smart Metering & System Metering and up-gradation of the Distribution Infrastructure, the minister added.

Emphasising  on the need to modernize the system, Shri Singh elaborated that  in order to reduce losses, States need to focus on  Improving Billing Efficiency, ensuring timely payment for electricity consumption by Government Departments etc. The minister  said that with planning and sincerity in implementation, an operationally efficient and financially sustainable electricity distribution sector can be developed using this scheme, to meet the aspirations of citizens of the country.

The Chief Minister of Assam Shri Himanta Biswa Sarma, Power Minister of the State Shri Bimal Bora and  Secretary, Ministry of Power, Government of India were also present in the meeting.

The Central Government has approved a Revamped Distribution Sector Scheme- a Reforms-based and Results-linked Scheme with an outlay of Rs.3,03,758 crore over a period of five years from FY 2021-22 to FY 2025-26 with the objective to improve the quality, reliability and affordability of power supply to consumers through a financially sustainable and operationally efficient distribution sector.


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