Overview
September 01, 2023 – Non-emergency medical transportation – Route planning with Pickup Time Optimisation Jobs in Garden Route, Western Cape, South Africa at OPEN DOOR LOGISTICS LTD
Title: September 01, 2023 – Non-emergency medical transportation – Route planning with Pickup Time Optimisation
Company: OPEN DOOR LOGISTICS LTD
Location: Garden Route, Western Cape, South Africa
- Home
- Products
- ODL Live
- ODL Studio
- ODL Connect
- Data
- Our Clients
- Downloads
- Tutorials
- Introduction to ODL Studio
- Installing ODL Studio
- Viewing customers on a map
- Geocoding
- Reporting
- Territory design
- Vehicle routing & scheduling
- Advanced configuration
- Building road network graphs
- Customising background maps
- External travel times and distance matrix
- Systems integration using command line – ODL Connect
- People
- Contact
Non-emergency medical transportation – Route planning with Pickup Time Optimisation
Posted 01 Sep 2023
In the video below we discuss vehicle route optimisation for Non-Emergency Medical Transportation (NEMT), also known as Non-Emergency Patient Transport Services, or NEPTS. The NEMT scenario is a common scheduling challenge, involving the transportation of people, some with specific medical requirements, from one location, often, but not always, their home, to another location, usually a medical facility or hospital.
The ODL Live route optimiser generates route plans that follow a series of rules:
- Rule 1: the passenger must be picked up or dropped off at their target appointment time.
- Rule 2: the driver cannot park up and wait with a passenger already onboard for longer than a predetermined limit.
- Rule 3: the driver takes breaks only when no passengers are onboard.
- Rule 4: passengers can only be onboard for a maximum amount of time.
The scheduling algorithm must allocate passengers (jobs) to drivers (vehicles), plan the stop sequence, and schedule breaks to prevent waiting with passengers onboard. It does this using Pickup Time Optimisation, which uses a combination of the target time for the job – either the pickup time or the dropoff time – and the limit on how long a patient can be on-board, which may mean that the algorithm needs to delay the driver prior to a pickup in order to keep to onboard and waiting time limits.
The model also takes account of whether a passenger is ambulatory or a wheelchair user, and whether they can share a vehicle with other passengers or require exclusive usage of the vehicle.
« Simplified vehicle routing model configuration using custom templates
ODL Studio screenshots
Previous Next
Recent posts
- September 01, 2023 – Non-emergency medical transportation – Route planning with Pickup Time Optimisation
- January 10, 2023 – Simplified vehicle routing model configuration using custom templates
- November 22, 2022 – Fairness constraint for passenger transportation planning with rideshare
- September 05, 2022 – Contiguity constraint in vehicle routing problems
- April 27, 2022 – Periodic vehicle routing problems for customers needing regular deliveries
- April 20, 2022 – 2-echelon vehicle routing problems / multi-level routing problems
- April 06, 2022 – ODL Studio vehicle routing documentation updated
- August 01, 2021 – On-board time limits for food deliveries and minimising waiting time
- June 27, 2021 – Flexible vehicle routing with different types of jobs
- April 12, 2021 – Green vehicle routing with park and loop optimisation
View all posts
