TY - GEN
T1 - A local dynamic route and green time swapping control algorithm maximizing total network capacity
AU - Viti, Francesco
AU - Rinaldi, Marco
PY - 2017/7/18
Y1 - 2017/7/18
N2 - This paper deals with the traffic signal control problem. More specifically it investigates the impact at a network level of simple dynamic local traffic control policies. A dynamic route swapping rule is adopted to model the behavioral response of the travellers to signal changes, while a dynamic signal control swapping rule based on an equi-pressure policy is used to implicitly consider the flow response within the control updating process. Results on a simple network show that the flow responsive control policy outperforms pre-timed control, as well as a more conventional local control policy based on signal equi-saturation. Numerical results show also that the swapping rule based on equi-pressure is less susceptible to local optima, to systematically improve total network throughput, and to increase its effectiveness with when demand increases.
AB - This paper deals with the traffic signal control problem. More specifically it investigates the impact at a network level of simple dynamic local traffic control policies. A dynamic route swapping rule is adopted to model the behavioral response of the travellers to signal changes, while a dynamic signal control swapping rule based on an equi-pressure policy is used to implicitly consider the flow response within the control updating process. Results on a simple network show that the flow responsive control policy outperforms pre-timed control, as well as a more conventional local control policy based on signal equi-saturation. Numerical results show also that the swapping rule based on equi-pressure is less susceptible to local optima, to systematically improve total network throughput, and to increase its effectiveness with when demand increases.
UR - http://www.scopus.com/inward/record.url?scp=85028513548&partnerID=8YFLogxK
U2 - 10.1109/MED.2017.7984272
DO - 10.1109/MED.2017.7984272
M3 - Conference contribution
AN - SCOPUS:85028513548
T3 - 2017 25th Mediterranean Conference on Control and Automation, MED 2017
SP - 1148
EP - 1153
BT - 2017 25th Mediterranean Conference on Control and Automation, MED 2017
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 25th Mediterranean Conference on Control and Automation, MED 2017
Y2 - 3 July 2017 through 6 July 2017
ER -