A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
User throughput optimization for signalized intersection in a connected vehicle environment
Development of connected vehicles has provided different opportunities for traffic management based on high-resolution data. However, dominant methods are focused on vehicle-based strategies. The aim of this research is the development of a user-based signal timing (UST) strategy aiming at maximizing user throughput in a connected vehicle environment. The inputs of the proposed optimization algorithm are position, speed, and length of connected vehicles, as well as the number of passengers for each of vehicles, while the output is the optimum green time duration for each phase of signal timing. A microscopic simulation environment is used to collect data and validate the model employed within the algorithm. Then, the proposed optimization problem is solved by genetic algorithm method. The results obtained via UST optimization are compared with a vehicle-based optimization strategy, which is solved by the same algorithm. Results show significant increase in user throughput and share of vehicles with higher number of users on-board when UST is employed. The UST algorithm can be also implemented as transit signal priority strategy and supportive policy for ride-sharing.
User throughput optimization for signalized intersection in a connected vehicle environment
Development of connected vehicles has provided different opportunities for traffic management based on high-resolution data. However, dominant methods are focused on vehicle-based strategies. The aim of this research is the development of a user-based signal timing (UST) strategy aiming at maximizing user throughput in a connected vehicle environment. The inputs of the proposed optimization algorithm are position, speed, and length of connected vehicles, as well as the number of passengers for each of vehicles, while the output is the optimum green time duration for each phase of signal timing. A microscopic simulation environment is used to collect data and validate the model employed within the algorithm. Then, the proposed optimization problem is solved by genetic algorithm method. The results obtained via UST optimization are compared with a vehicle-based optimization strategy, which is solved by the same algorithm. Results show significant increase in user throughput and share of vehicles with higher number of users on-board when UST is employed. The UST algorithm can be also implemented as transit signal priority strategy and supportive policy for ride-sharing.
User throughput optimization for signalized intersection in a connected vehicle environment
Mohammadi, Roozbeh (author) / Roncoli, Claudio (author) / Mladenovic, Milos N. (author)
2019-06-01
724230 byte
Conference paper
Electronic Resource
English
Two-Level Signalized Intersection
| British Library Online Contents | 2008
Upstream Signalized Crossover Intersection: Optimization and Performance Issues
| British Library Online Contents | 2006
Maximizing the Traffic Throughput of Turn Bays at a Signalized Intersection Approach
| Online Contents | 2013
Prioritizing Signalized Intersection Operational Deficiencies
| British Library Online Contents | 1992