Hossan et al., 2020 - Google Patents
Fog-based dynamic traffic light control system for improving public transportHossan et al., 2020
View PDF- Document ID
- 4321861200897991601
- Author
- Hossan S
- Nower N
- Publication year
- Publication venue
- Public Transport
External Links
Snippet
Nowadays, traffic congestion is increasingly aggravating in almost every urban area and existing traffic light controllers cannot satisfy the rising demands efficiently to handle the traffic pressure. An intelligent transportation system (ITS) aims to provide major innovations …
- 238000004422 calculation algorithm 0 abstract description 27
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hossan et al. | Fog-based dynamic traffic light control system for improving public transport | |
Zhao et al. | Routing schemes in software-defined vehicular networks: Design, open issues and challenges | |
Jabri et al. | Vehicular fog gateways selection on the internet of vehicles: A fuzzy logic with ant colony optimization based approach | |
Akabane et al. | Towards a distributed and infrastructure-less vehicular traffic management system | |
de Souza et al. | A fully-distributed traffic management system to improve the overall traffic efficiency | |
Chavhan et al. | An efficient context-aware vehicle incidents route service management for intelligent transport system | |
Ahmed et al. | A congestion aware route suggestion protocol for traffic management in internet of vehicles | |
Wuthishuwong et al. | Consensus-based local information coordination for the networked control of the autonomous intersection management | |
Ahmad et al. | The role of vehicular cloud computing in road traffic management: A survey | |
Louati et al. | Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections | |
Raut et al. | Intelligent transportation system for smartcity using VANET | |
Wang et al. | Traffic signal optimization under connected‐vehicle environment: An overview | |
Jurczenia et al. | A survey of vehicular network systems for road traffic management | |
Miri et al. | Improved routing vehicular ad-hoc networks (VANETs) based on mobility and bandwidth available criteria using fuzzy logic | |
Balen et al. | Optimized Edge, Fog and Cloud Computing Method for Mobile Ad-hoc Networks | |
Sharma et al. | AdPS: Adaptive priority scheduling for data services in heterogeneous vehicular networks | |
Kumar et al. | Real-time data sharing, path planning and route optimization in urban traffic management | |
Manogaran et al. | Pre-predictive congestion-based data allocation for sixth generation cooperative intelligent transportation systems | |
Wu et al. | An efficient adaptive intelligent routing system for multi‐intersections | |
Cao et al. | ETCS: An efficient traffic congestion scheduling scheme combined with edge computing | |
Zhu et al. | A prediction-based route guidance method toward intelligent and green transportation system | |
Li et al. | A traffic congestion aware vehicle-to-vehicle communication framework based on Voronoi diagram and information granularity | |
Chamideh et al. | Centralized coordination of autonomous vehicles at intersections | |
Shepherd | Traffic control in over‐saturated conditions | |
Gaouar et al. | CCITL: A cloud‐based smart traffic management protocol using intelligent traffic light system in VANETs |