TY  - JOUR
PY  - 2022//
TI  - Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand
JO  - Journal of intelligent transportation systems: technology, planning, and operations
A1  - Shirke, Chaitrali
A1  - Sabar, Nasser
A1  - Chung, Edward
A1  - Bhaskar, Ashish
SP  - 343
EP  - 355
VL  - 26
IS  - 3
N2  - Traffic demands at intersections vary across various periods of a day and from day to day. Generally, fixed time traffic signals are designed considering the average traffic flows across multiple days over a predetermined time interval. This approach overlooks the day to day variability in traffic demand, leading to inefficient and unreliable signal control performance. A signal plan should be robust such that it is less sensitive to demand variations and can maintain near-optimal performance during varying traffic demand. To address this need, the paper presents a new offline scenario-based framework, named Metaheuristic Robust plan Approach (MHRA), that identifies a robust plan for fixed time signals. MHRA includes a heuristic that considers optimum signal plan for various demand scenarios and corresponding costs to find a robust solution. The numerical experiments are performed using realistic traffic demand scenarios on an arterial corridor to verify the MHRA framework. The outcomes concluded that the framework produces a robust signal plan that outperforms a nominal signal plan based on average traffic demand and maintains stable performance under varying demand. Benchmarking MHRA with other scenario-based approaches proposed in the literature such as mean-variance optimization and conditional value at risk minimization confirms better efficiency for MHRA.<p />  <p>Language: en</p>
LA  - en
SN  - 1547-2450
UR  - http://dx.doi.org/10.1080/15472450.2021.1878892
ID  - ref1
ER  -