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|Title:||Traffic light scheduling for pedestrian-vehicle mixed-flow networks||Authors:||Zhang, Yi
|Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2018||Source:||Zhang, Y., Gao, K., Zhang, Y. & Su, R. (2018). Traffic light scheduling for pedestrian-vehicle mixed-flow networks. IEEE Transactions On Intelligent Transportation Systems, 20(4), 1468-1483. https://dx.doi.org/10.1109/TITS.2018.2852646||Project:||S15-1105-RF-LLF URBAN||Journal:||IEEE Transactions on Intelligent Transportation Systems||Abstract:||This paper presents a macroscopic model for pedestrian-vehicle mixed-flow network and a traffic signal scheduling strategy for both pedestrians and vehicles. We first propose a novel mathematical model of pedestrians crossing a junction. By combining a link-based vehicle network model, a traffic light scheduling problem is formulated with the aim to strike a good balance between pedestrians' needs and vehicle drivers' needs. The problem is first converted into a mixed-integer linear programming (MILP) problem via a novel transformation procedure, which is solvable by several existing solvers, e.g., GUROBI. Then a meta-heuristic method called discrete harmony search (DHS) algorithm is also adopted to reduce the computational complexity in MILP. Numerical simulation results are provided to illustrate the effectiveness of our real-time traffic light scheduling strategy for pedestrians and vehicles, and the potential impact of the pedestrian movement to the vehicle traffic flows.||URI:||https://hdl.handle.net/10356/151283||ISSN:||1524-9050||DOI:||10.1109/TITS.2018.2852646||Rights:||© 2018 IEEE. All rights reserved.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Journal Articles|
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