Enhancement of safety and comfort of cyclists at intersections
| Autor: | Mahtab Joueiai, Robbin Blokpoel, Meng Lu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Road traffic control Adaptive control Computer science Mechanical Engineering media_common.quotation_subject 05 social sciences Control (management) Stability (learning theory) Transportation Control engineering 010501 environmental sciences 01 natural sciences Model predictive control Control theory 0502 economics and business 11. Sustainability Function (engineering) Law Intelligent transportation system 0105 earth and related environmental sciences General Environmental Science media_common |
| Zdroj: | IET Intelligent Transport Systems |
| ISSN: | 1751-9578 |
| Popis: | Cyclist safety is increasingly becoming a societal problem in Europe, as shown by road safety statistics. Frequent stops for red traffic lights at intersections are experienced by cyclists as a major inconvenience. This study introduces a green wave concept for cyclists, with focus on the traffic management and control aspects under cooperative intelligent transport systems applications. It especially addresses increasing stability of the adaptive control system, to overcome the drawbacks of both actuated and traditional adaptive control (which are too unpredictable for a green wave speed advice). In addition, solutions for avoiding increased delays for other traffic are investigated, as generally result from a classic green wave approach (with only fixed-time control) and traditional adaptive control. This study introduces an adaptive control algorithm for a real-time model-predictive controller and implements a plan-deviation cost function to address stabilisation. Simulation results show that the developed method increases stability of the adaptive control system, limits extra delays for other traffic and yields a high success rate for the green wave concept. |
| Databáze: | OpenAIRE |
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