Urban Traffic Control Sample Clauses

Urban Traffic Control. Motivation Congestion in urban road networks around the world continues to increase in space and time during the peak periods, leading to excess delays, fuel consumption and environmental impact. All major actors (authorities, industry, researchers) agree that there is no practicable signal control strategy available to efficiently address saturated traffic conditions. The typical operating mode of traffic signals around the world is based on limited levels of knowledge (vehicles often detected some distance upstream and then behaviour predicted) and non-optimum levels of control. With cooperative systems the potential exists for continual mon- itoring of vehicle positions, giving additional information about vehicle positions and intentions to be known by the signal control algorithms. In addition, there is potential for advanced signal control information to be transferred directly to vehicles. Premises Improvements to urban traffic management and control through adoption of coopera- tive measures will bring many benefits by building on recent insights. • Urban network congestion is persisting or increasing and presents a genuine threat for economic and social life, as well as for citizens’ health in cities around the world. • Deployed UTC strategies are known to be less efficient in the saturated traffic conditions that are encountered daily during peak periods. • Recent insights (e.g. the notion of network fundamental diagram) indicate significant network degradation (due to queue spill-back and consequent gridlock) for high network density. These insights, along with other recent methodological advances, offer opportu- nities for efficient traffic management in saturated traffic conditions. • Emerging cooperative systems may offer additional opportunities for improved UTC un- der all possible traffic conditions. Research required Research required to use cooperative measures to develop urban traffic management and control includes: • Parts of urban road networks that suffer from link blocking-back and consequent gridlock during the peak periods need to be protected from over saturation that leads to this degra- dation. There are various possible ways to address this need, depending on the network characteristics and the available real-time information from detectors. The adequacy of these potential approaches needs to be evaluated and compared under realistic conditions and through trial field deployment to identify the most appropriate methods for sp...
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Related to Urban Traffic Control

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