Vehicle Exit Coordination Using Speed Adjustment Requests
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Solution Overview
Problem
Vehicles face challenges in safely maneuvering on highways, particularly when exiting or passing, due to issues like speed mismatches and lane changes, which can lead to unsafe and inefficient driving situations.
Innovation Solution
A system and method that utilize a processor in vehicles to detect exits, calculate exit readiness, request speed adjustments from nearby vehicles, and perform maneuvers such as lane changes based on blockchain consensus and smart contracts to ensure safe exit and passing procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a transport moves fast in a middle lane to maintain speed, then productivity is improved, but safety deteriorates when exiting the highway
Solution Approach 1:
The system performs preliminary actions by detecting exits in advance and calculating exit readiness probabilities before the transport actually needs to exit. The processor identifies upcoming exits and assesses whether the transport is prepared to exit safely, allowing time for coordination with other transports before the critical exit maneuver is required.
Solution Approach 2:
The system introduces an intermediary communication layer between transports using blockchain technology. Instead of direct driver-to-driver interaction or centralized traffic control, transports communicate through a decentralized blockchain network that mediates speed adjustment requests and exit coordination, enabling safe maneuvers without compromising travel efficiency.
2Productivity
If a faster transport comes up close to a slower transport to pass, then productivity is improved, but safety deteriorates due to potential collisions
Solution Approach 1:
The system implements continuous feedback mechanisms where transports monitor each other's positions, speeds, and intentions in real-time through blockchain communications. The faster transport receives feedback about the slower transport's lane change status and adjusts its speed accordingly, while the slower transport feedbacks its lane change readiness, creating a closed-loop safety mechanism that prevents collisions during passing maneuvers.
Solution Approach 2:
The system performs preliminary assessments of passing conditions by evaluating lane availability, speed differentials, and distance to other transports before initiating passing maneuvers. This advance planning ensures that passing actions are taken only when safe conditions exist, improving productivity without compromising safety.
3Ease of operation
If manual driving decisions are made to resolve speed mismatches, then ease of operation is maintained, but safety deteriorates due to undetected issues
Solution Approach 1:
The system enables transports to serve themselves by automatically detecting exits, calculating exit readiness, and initiating coordination requests without requiring constant driver intervention. The processor autonomously monitors traffic conditions, identifies safety issues, and manages passing or exit maneuvers, reducing the cognitive burden on drivers while improving reliability through consistent automated monitoring.
Data Source
AI summary
An example operation includes one or more of detecting, by a processor of a transport, an exit on a road, calculating, by the processor of the transport, a probability that the transport is not prepared to exit, requesting, by the processor of the transport, at least one other transport proximate to the transport to alter its speed if the probability exceeds a threshold, and responsive to a detecting of an altering of the speed by the at least one other transport, triggering the transport to exit the road.