Dynamic Transportation System With Digital Signal Control
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Solution Overview
Problem
Current mass transit systems are inefficient due to their closed-loop, scheduled nature, leading to low utilization, traffic congestion, and instability in vehicle speed and spacing, resulting in excessive delays and lost time.
Innovation Solution
A transportation system featuring a guideway with automated electric vehicles that use digital control signals to maintain speed and spacing, allowing for high-speed travel while avoiding congestion and instability, with vehicles transitioning between automated and manual modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If closed-loop scheduled mass transit systems are used, then transportation service is provided, but facility utilization is too low to generate sufficient revenue
Solution Approach 1:
The system transitions from static scheduled routes to dynamic on-demand routing. Vehicles continuously adjust their paths, speeds, and destinations based on real-time passenger requests and traffic conditions, maximizing facility utilization while minimizing idle time and energy consumption.
Solution Approach 2:
The transportation system enables passengers to independently request and book rides through a booking platform, eliminating the need for centralized schedule management. The system automatically matches passengers with vehicles and optimizes routing, reducing operational complexity and improving resource allocation efficiency.
2Productivity
If more vehicles are deployed to handle high traffic demand, then transportation capacity increases, but vehicles sit idle when demand is low
Solution Approach 1:
The system implements dynamic vehicle allocation where the number and distribution of vehicles are continuously adjusted based on real-time demand patterns. During high-demand periods, more vehicles are deployed to affected areas; during low-demand periods, vehicles are redistributed or placed in idle status, optimizing the balance between capacity and resource usage.
Solution Approach 2:
Vehicles serve multiple functions and routes rather than being dedicated to single fixed routes. A vehicle can dynamically switch between different destinations and passenger groups, allowing the same fleet to handle varying demand patterns across different times and locations without requiring additional vehicles.
3Ease of operation
If independent vehicles maintain constant speed and distance, then vehicle control is simplified, but instability waves develop and grow over time
Solution Approach 1:
The system implements continuous feedback control where each vehicle receives real-time information about the positions and speeds of surrounding vehicles through communication infrastructure. Vehicles adjust their speed and spacing dynamically based on this feedback, preventing the development of instability waves while maintaining safe following distances.
Solution Approach 2:
A centralized control system or communication infrastructure acts as an intermediary between vehicles, coordinating their movements to prevent instability. The intermediary processes information from all vehicles and sends control commands that maintain stable spacing and speed, avoiding the cumulative effects that lead to stop-and-go traffic patterns.
4Productivity
If high volume intersections backup into each other, then city traffic congestion occurs, but vehicle movement comes to complete stand still
Solution Approach 1:
The system replaces static intersection control with dynamic routing that continuously adapts to traffic conditions. Vehicles receive real-time route recommendations that avoid congested intersections and areas, distributing traffic flow dynamically across multiple paths and preventing the formation of gridlock patterns.
Solution Approach 2:
The transportation network is segmented into multiple dynamic routing options rather than relying on fixed intersection patterns. This segmentation allows traffic to be distributed across alternative paths when certain intersections become congested, preventing the propagation of backups through the network.
Data Source
AI summary
New and useful system, components and methods are provided for a transportation system in which one or more vehicles are moved between at least a pair of stations along a guideway that extends between the pair of stations. The vehicle is propelled along the guideway while one or more signals are transmitted that can be used for controlling the speed of the vehicle and the spacing between the vehicle and other vehicles on the guideway. A digital signal that decodes into a sync signal component and a spacing signal component is transmitted along the guideway, where the difference between the period of the sync and spacing signal components determines the predetermined speed of the vehicles moving along the guideway. Each vehicle has a virtual scan window, based on the actual speed of the vehicle, that is configured to follow the spacing signal component in a manner such that the relation of a predetermined point on the virtual scan window to the spacing signal component determines whether the vehicle is maintaining the predetermined speed or whether the speed of the vehicle needs to be adjusted to maintain the predetermined speed and spacing.