B_Target : freeing cities from the automovive need
Cost of lines
A quick rationale
Fully automatic network, autonomous cars/pods.
Each passenger or freight car runs point-to-point, on-demand "missions" that can be booked years to one minute before. The mission is automatically scheduled for departure and arrival to a few seconds of accuracy, regardless of the traffic.
Booking is done using average fixed or portable applications.
A max wait time is set by the network operator, e.g. one minute, 24/7
Pods are berthing to the requested station with a typical 10s advance for embarkment.
Unbooked missions (="taxi mode") are served by a portion of the fleet, prepositioned in accordance with the chosen max wait time.
The network provides a uniform availability of service over high to lowest density areas, and from rush hours to the small hours of the night. This is performed automatically, again acording to the max wait time requirement.
The network is dimensioned to accomodate peak hours, and have an inherent, extremely high capacity. As soon as the traffic calms down, vehicles automatically park.
In town, 36km/h (10m/s).
In open terrain, up to 60km/h (1km/mn).
The network has a very large profitability range, from moving a single pod for a single person at night to tens of thousands an hour n rush hours.
Since non assigned vehicles park immediately, only keeping the minimum back-up on tracks, the network is able to maintain a consistent >90% efficiency in all conditions.
A very high capacity of over 30k passengers/hour/direction is achievable on any ntwork segment, due to the locally automated control. Such a value, irrealistic in a meshed network, is more considered as a very comfortable network design margin.
Trackways as poetically illustrated above can be deployed wherever streets/roads are.
The self-supporting structure allows to clear gaps as large as 10m as is, and 20m by installing its nominal core stiffener. As a consequence, most networks don't require any engineering works, which makes for the inexpensive aspect.
Moreover, harsh terrains, swamps, cliffsides can be equiped without significant trouble, where building a road is impossible.
The ability to fly over natural terrains with almost no interaction is a huge help to preserve biodiversity.
Based upon the AIDAÔ technology for advanced critical safety, the CarLina system benefits from remarkable features:
The network architecture is fully distributed, that is, no central control is needed. This insures the highest level of simplicity, performance and cost savings over its life cycle.
Network reliability is based on mobiles interacting with the rail fixed surveillance and communication sub-network. A safety analysis and mitigation process of aeronautic level is deployed.
Pods continuously self-test ("health monitoring") and manage their rendez-vous with the network workshop for first level maintenance. This is scheduled for when the replacement part is available. A field engineer proceeds in a few minutes with the replacement and validation tests. The updated pod is checked by the network with some caution, the time for the fixed and pair mobiles to confirm the proper behaviour.
Simplicity is this network's key to availability. Most basic failures known in fixed transport modes have been avoided by design. The fixed part is entirely passive, including no mechanisms at all. The mobile part is made of individual, self-controlling pods that get out of the way long before detected wearings lead to a failure. Extreme cases still exist, and have quick mitigation strategies.
Passenger safety & security
The only human activity required for operation is the mandatory audio/video security surveillance. Users can request help or advice any instant.
Energy consumption is to be considered in 4 modes:
Since the sixties, a large number of proposals in the family close to CarLina, "personal rapid transit", were tested and a few deployed, but they generally offered a limited set of services, making them no more than yet another transportation mode.
CarLina is designed as a comprehensive answer to complete urban mobility, with services encompassing taht usually provided the automotive way, like freight and technical services.
Full territorial coverage
24/7 automatic service
Passengers + goods + technical services
4-passengers only pods for maximum flexibility
Light pods allow small/light/cheap tracks
Lots of small stations to closely fit the territory
Common to many PRTs, but the very lightest => most flexible and cheapest
Ability to fit wherever automobiles do, to remove the umtimate car preference
"as much as reasonably possible", but going much farther than anything known today
Built in steel (recyclable) only, no concrete
Designed for a fully local local life cycle
B_Reducing the urban car dependency
The right PT mode should not be imposed, but be felt as an evidence
Congestion is inherent to automobile: it is the inevitable production of a number of asynchronously driven mobiles, where local information (the driver's knowledge) move slower than mobiles can. Adding to this comes a second condition, as inevitable, of an anarchic (unscheduled) network.
The CarLina network is designed to be congestion-free by three characteristics:
With this, any motion occurs as predicted, to the second.
Fixed network cost
Engineering cost provided for evaluation, please contact us for network studies.
1M€/km engineering cost + terrain specifics
Security & surveillance: refer to lifts in buildings
Workshop: one per network, typ. 0.5M€
Parking (self-, automatic): typ 500k€, each chunk of 100 vehicles.
Strictly proportional to the rush hour traffic
Starting from 30k€ in qty of 100 pods, decreasing significantly for more as the automotive fabrication model applies.
Fleet size, and efficiency
Fleet size results from a detailed feasibility study, please contact us for use cases.
Like in other modes, the amount of vehicles depends on the peak requirement.
Unlike, the number of vehicles in operation lowers with the demand, down to the unit in extreme low demand, 24/7.
Cost of ownership
A pod is dimensionned for 2M km before full refitting, and then again.
Maintainance is simplified to an extreme, allowing automated first-level operation.
Pods sef-test continuously and autonomously schedule their own maintenance.