Switch provides a full spectrum of complementary products and services. Its centerpiece product in this suite is the Switch MaaS application that is suitable for both competitive situations amongst several MaaS providers and for white label use by public organizations that have decided to upgrade their current transit and transport route and travel planning applications to the state-of-the-art in MaaS functionality. It can include information and payment possibility for all available modes in the region that have a suitable Application Program Interface (API), as well as complete guidance for travel with one’s own bicycle or walking.
Switch MaaS has several distinguishing capabilities. It is based on one of the world’s first MaaS implementations in Finland and has already reached a refined stage. It is connected to MOBILITY DR and to KYYTI, an array of Demand Responsive Transit (DRT) application modules an operating agency can use to provide a variety of service plan possibilities that bridge the gap between the single party taxi and transportation network company options and the 40 foot bus.
It can also support any competitive DRT solution. It has a built-in intelligence where it can provide options to an individual based on their revealed preferences from the past, subject to their permission, and compile this information for use in planning and modeling databases. It can be configured to support various Business to Government uses such as service consolidation (disabled, medical, school, and so on) and Business to Business uses (employee benefits, institutional travel demand management, and so on).
Many organizations are wondering what the correct approach is for them in this increasingly complex transport ecosystem. DEMANDTRANS and KYYTI GROUP both have consulting arms that can provide independent and unbiased analysis on transport demand under different DRT options, effects on demand from joint pricing of trip chains, demand forecasts including non-motorized modes, and trend predictions with future population growth and land use changes. This knowhow was the starting the point for the development of KYYTI, MOBILITY DR and Switch MaaS. The Switch suite includes several simulation packages that are run by people of academic and advanced computing backgrounds with many years of experience of consulting with both public and private industries.
REAL TIME CAPABILITIES
REAL TIME CAPABILITIES (KYYTI)
KYYTI is a broad shared ride taxi / minibus system providing a platform architecture that is fully scalable and accessible. The platform can be scaled from small pilots to large scale transportation systems. It has highly intuitive APIs and is easy to integrate with other systems in an ecosystem.
The platform’s advantages are state-of-the-art optimization and dispatch engines which support automatic ride sharing. The KYYTI team has years of experience in managing ADA transport and accessibility features for wheelchair bound passengers, which were integrated from day one.
The following tools are included in the platform offering:
* The Driver’s Application for workflow management. Drivers receive and report work with the DriverApp. The application assists drivers by showing vehicle and task locations on a map and by providing information about the details of the trip. The Driver can also manage breaks with it. The Drivers App is compatible with Android devices eliminating the need for expensive MDTs.
* Real Time View provides a view to service’s status on a given moment from several perspectives. It is a tool for searching information about trips and several filters can be applied depending on the nature of the interest. Real Time View can be used for finding information about past, present or future. Real Time View also provides tools for making manual adjustments to the planned schedules by enabling adding new trips, cancelling existing trips, selecting vehicles manually and detaching routes from vehicles manually.
* Management Tool monitors the current state of the fleet and maintains vehicle capacity by adjusting vehicle shifts.
POST-PROCESSING CAPABILITIES (MOBILITY DR)
The following reports are included in MOBILITY-DR to meet performance reporting and understand operational efficiency:
* Manifest Summary Report: Includes number of trips, number of passengers, total trip miles, total passenger miles, trip hours, and passenger hours
* Vehicle Block Log Summary Report: Includes deadhead miles, deadhead hours, in-service miles and in-service hours
* Manifest Details: Completed trips by Service Area Block
* Manifest Summary With Fares: Completed Trips by Service Area for number of trips, number of passengers, trip miles, passenger miles, trip hours, passenger hours, and trips by fare type
* Vehicle Block Log Details: Daily Service Area Block activity by driver and vehicle includes odometer readings, total in-service hours, total in-service miles, total deadhead time and total deadhead hours
* Customer No-Shows: A list of reported no-shows grouped by customer
* Move Audit Report: A history of driver-initiated trip moves from one service block to another
* Failed Trips: A list of trips that do not fit within the current manifests
* Trip Denials: A list of trip requests that have failed scheduling. Includes the reason: either no alternative time available or the customer refused the alternative time. Also includes locations that failed Service Area Validation: This report is used to evaluate current service demand as all denials are automatically system generated.
Total or Average by service area and date for the following categories:
* Unique Riders
* Cancelled Trips, No-shows & Trip Denials
* Rider Minutes in Vehicle
* Scheduled vs Actual Boarding Time
* Schedule Adherence
* Vehicle Miles Traveled
* Days or hours in Advance Riders Booked Trips
POST-PROCESSING CAPABILITIES (KYYTI)
KYYTI provides an extensive set of reports and key performance indicators (KPIs) in order to meet the various data needs of its stakeholders.
* Summary report: Number of orders, passengers, passenger miles, passenger hours and revenue, organized by time period, vehicle, user or service class. It is additionally possible to summarize by definable service areas. KYYTI can assist in defining service areas through clustering analysis.
* Operational efficiency report: Including trips and revenue by vehicle hour, deadhead hours and average passenger occupancy.
* Quality of service report: Including wait times from requested to realized pickup or dropoff times, deviations from estimated pickup, ride and drop off times, no-capacity responses, no-shows, cancellations, failed payments and refunds. All customer service interactions can be tracked to relevant users and trips.
* User report: List of registered users, users with orders and repeat users. Usage patterns such as trip frequency by time of day or weekday and common destinations. Sample of KPIs: Revenue per vehicle hour, passengers per vehicle hour, ratio of deadhead time, average passenger wait time, ratio of successful requests, ratio of requests to orders, ratio of trips combined.
By separate agreement, Switch can offer its transit agency partners tailor-made reporting solutions, ranging from scheduled custom reports to real-time dashboards and advanced analysis.
TOOLS FOR ANALYSTS
The ability to work with transit agencies and private operators to match the right type of service by demand patterns is what sets our technology and analysis capability apart from other technology providers, private operators, and Transportation Network Companies (TNCs).
DEMANDTRANS has developed a DRT simulator tool that computes the optimal DRT service and minimizes the combination of operator cost and passenger cost. There is a full spectrum of possibilities from a single ride taxi from point to point to fully fixed routes. The optimal for a particular situation depends on the nature of the demand. This can include the origin-destination (O-D) patterns, volume of travelers, whether connections to a vanpool or mainline are desired, whether the number of vehicles available is limited, and so on. The simulator output includes a routing and scheduling solution subject to the constraints.
Both the simulation tool and the services our software supports can be anywhere on a spectrum of completely fixed to completely flexible and on-demand. Simulations can be repeated after removing or modifying
certain constraints such as having a fully demand-responsive service (with zero “checkpoints”) to having one or more checkpoints the vehicle visits on a route/shift such as visiting the park and ride station every hour or other predetermined cycle time. Performance measures for both customers and operators are extracted from the simulated tours.
Figure 1a represents one realization of the simulation for illustration, whereas Figure 1b illustrates the average performance of the fleet with a varying number of compulsory required stops. We would work with King County to identify and test dozens of combinations of fleet size and checkpoint location constraints in order to identify the right combination of services for the three unique park-and-ride locations.
To generate demand estimates and sample O-D pairs when none are available or inadequate, Brutus would be deployed. Brutus is a next-generation individual level multimodal transport demand model developed by STRAFICA LTD., the parent company of KYYTI GROUP. Brutus has a number of advantages that make it superior to many established transport planning tools when it comes to analyzing and planning of smart and green urban mobility services. It is highly flexible and can be configured to integrate with the more traditional transport models.
Brutus needs only a limited amount of recent travel survey data. It then synthesizes the travel pattern of the entire population based on this limited sample of representative persons, including non-motorized trips. Brutus simulates individual trips separately, taking into account individual preferences and socio-economic thresholds, rather than operating with mean values of a limited number of demographic subgroups within large Transportation Analysis Zones (TAZs). In short, mobility behavior is handled realistically as trip chains. The geographical accuracy of Brutus is practically unlimited, which is important when modeling cyclists, pedestrians and DRT. Finally, every trip has an exact time stamp which is necessary in the modeling of potential of DRT services. See STRAFICA website for more details about how Brutus works and previous applications.