The MAIOR Transit Scheduling Suite for Electric Vehicles helps you easily plan and schedule e-bus fleet operations in the most economical and efficient manner possible
Key Features and Benefits
Design the charging infrastructure
including in-depot and opportunity charge
Build timetables taking into account EV ranges
to determine if next trips can be performed
Prioritize EVs to peak hours trips also to reduce pollution
while managing medium-long term procurement plan
Optimize EV blocks integrating preconditioning and charging times
while considering the existing EV infrastructure
Monitor the state of charge (SoC) and the charging station availabilities
when working on vehicle scheduling
Optimize duties to match EV tasks, like plug-in and plug-out
while checking any qualifications that are required
Simulate route electrification
to evaluate vehicle needs at the early stage of the planning process
Create scenarios
with different charging strategies to find the charging plan that best ensures electricity costs reduction
Ensure
right vehicle block assignment checking the state of charge in real-time of every vehicle
MAIOR Transit Scheduling Suite: E-Bus Fleet Operations Planning
Optimized E-Bus Fleet Operations with the MAIOR Transit Scheduling Suite
The electrification of public transport bus services is a key answer to reduce air and noise pollution, caused by an increased mobility demand and more traffic congestion.
The introduction of new electric buses means managing the specific characteristics the new technology is bringing along, plus managing the constraints that this technology requires to operate.
Practically speaking, smart strategies for managing elements such as ranges, charging times, energy consumption, preconditioning activities, or the adequate availability of charging stations are heavily impacting the efficiency and the overall costs of your electric bus operations.
Plan your e-bus fleet operations in the most economical and efficient manner possible
For Authorities and Operators
offering urban, suburban, or shuttle operations
Designed for Mixed Fleets
for diesel, fuel, hybrid, and electric vehicles
For a Smooth EV Integration
helping you easily include new EVs in your operations
Scheduling Optimization
The MAIOR Transit Scheduling Suite performs timetable, blocking, and run-cutting optimization:
- Creating trips using vehicle autonomy range
- Calculating vehicle ranges based on battery capacity
- Managing average and worst consumption profiles
- Considering consumption per kilometer or per minute
- Using different vehicle ranges for either revenue or non-revenue services
Scenario Modeling Tool for EV
Strategic service planning feature
To help you plan your electric bus service future, the MAIOR Transit Scheduling Suite includes features to evaluate the impact of switching to an EV fleet in terms of resources and costs.
The integrated Scenario Modeling Tool for EV simplifies the transition to a fully e-fleet and eases the management of mixed fleets operations.
This innovative tool allows you to create, modify, analyze, and compare trips and schedules as the number of your electric vehicles increases.
Discover more about the MAIOR Transit Scheduling Suite
Assignment & Dispatching
The MAIOR Transit Scheduling Suite uses real-time EV data and helps dispatchers assign vehicles:
- In view of the battery status reducing range anxiety
- Considering the expected vs. the actual vehicle's charge level to reduce range risks
- Receiving warnings when vehicles are below the expected charge levels automatically
EV Parameters Management
Manage all your e-bus parameters in a single place
The MAIOR Transit Scheduling Suite allows public transportation companies to include all the information needed to easily configure the system parameters to address all electric vehicle operations needs.
- Designing the EV infrastructure placing charging stations at depots, terminals, or parking areas
- Managing pantographs, quick-charging, plug-in charging, or overnight stations
- Dealing with different battery types and characteristics
- Assigning plug-in and plug-out tasks
- Considering battery preconditioning time
