TY - GEN
T1 - Vehicle Detection Design (Coverage and Accuracy) and the Performance of Congested Traffic Networks
AU - Medina, Juan C.
AU - Benekohal, Rahim F.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - This paper explores the effects of detection (coverage and accuracy) on the performance of an oversaturated network with traffic signals controlled by a next-generation multi-agent-based system that reacts to demands in real time. Several scenarios on a realistic simulated network are used to illustrate changes in performance when detector inputs are inaccurate and generate discrepancies in the estimation of link demands. Then, these results are compared to the network with accurate detection but a reduced number of sensors. Equivalent system performance from comprehensive sensor coverage but with inaccuracies and reduced number of sensors with increased accuracy can be found. This approach is proposed to be used for detection design, where tradeoffs between performance and coverage are taken into account. Results from different patterns of sensor inaccuracies are also discussed, providing insights on patterns that may have less impact than others. Future work on the effects of demand levels and turning movements is also introduced, as well as a counteracting feedback solution for monitoring detection inputs.
AB - This paper explores the effects of detection (coverage and accuracy) on the performance of an oversaturated network with traffic signals controlled by a next-generation multi-agent-based system that reacts to demands in real time. Several scenarios on a realistic simulated network are used to illustrate changes in performance when detector inputs are inaccurate and generate discrepancies in the estimation of link demands. Then, these results are compared to the network with accurate detection but a reduced number of sensors. Equivalent system performance from comprehensive sensor coverage but with inaccuracies and reduced number of sensors with increased accuracy can be found. This approach is proposed to be used for detection design, where tradeoffs between performance and coverage are taken into account. Results from different patterns of sensor inaccuracies are also discussed, providing insights on patterns that may have less impact than others. Future work on the effects of demand levels and turning movements is also introduced, as well as a counteracting feedback solution for monitoring detection inputs.
KW - Adaptive control systems
KW - Agent-based traffic control
KW - Detection design
KW - Detection system technology
KW - Oversaturated signalized traffic network
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U2 - 10.1109/ITSC.2015.38
DO - 10.1109/ITSC.2015.38
M3 - Conference contribution
AN - SCOPUS:84950255588
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 179
EP - 184
BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Y2 - 15 September 2015 through 18 September 2015
ER -