Speed Advisory and Signal Offsets Control for Arterial Bandwidth Maximization and Energy Consumption Reduction

The problem of maximizing bandwidth along an arterial is addressed here by use of two combined control actions: traffic light offsets and recommended speeds. The optimization problem has been enriched in order to account for traffic energy consumption and network travel time, thus avoiding impractical or undesirable solutions. A traffic microscopic simulator has been used to assess the performance of the proposed technique in terms of energy consumption, travel time, idling time, and number of stops. The correlation of theoretical bandwidth with known traffic performance metrics is studied, and an analysis of the Pareto optimum has been carried out to help the designer choose a tradeoff in the multiobjective optimization. Finally, an evaluation of the traffic performance at different levels of traffic demand aims at showing the best operation conditions of the proposed strategy. A demand-dependent optimization is proposed.

[1]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[2]  John D. C. Little,et al.  The Synchronization of Traffic Signals by Mixed-Integer Linear Programming , 2011, Oper. Res..

[3]  Carlos Canudas de Wit,et al.  Urban traffic Eco-Driving: A macroscopic steady-state analysis , 2014, 2014 European Control Conference (ECC).

[4]  Carroll J Messer,et al.  MAXBAND-86: Program for optimizing left-turn phase sequence in multiarterial closed networks. , 1988 .

[5]  Prashant Kumar,et al.  Characterisation of nanoparticle emissions and exposure at traffic intersections through fast–response mobile and sequential measurements , 2015 .

[6]  Carlos Canudas de Wit,et al.  Arterial bandwidth maximization via signal offsets and variable speed limits control , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[7]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[8]  John D. C. Little,et al.  SYNCHRONIZING TRAFFIC SIGNALS FOR MAXIMAL BANDWIDTH , 1964 .

[9]  Philippe Moulin,et al.  Optimal Energy Management Compliant with Online Requirements for an Electric Vehicle in Eco-Driving Applications , 2012 .

[10]  John D. C. Little,et al.  MAXBAND : a versatile program for setting signals on arteries and triangular networks , 1981 .

[11]  N. Petit,et al.  Optimal drive of electric vehicles using an inversion-based trajectory generation approach , 2011 .

[12]  Nathan H. Gartner,et al.  MULTIBAND-96: A Program for Variable-Bandwidth Progression Optimization of Multiarterial Traffic Networks , 1996 .

[13]  N. Gartner,et al.  Arterial-based control of traffic flow in urban grid networks , 2002 .

[14]  Nathan H. Gartner,et al.  Arterial traffic signal coordination utilizing vehicular traffic origin-destination information , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[15]  Zong Tian,et al.  System Partition Technique to Improve Signal Coordination and Traffic Progression , 2007 .

[16]  Nathan H. Gartner,et al.  A multi-band approach to arterial traffic signal optimization , 1991 .

[17]  J. Archer,et al.  THE IMPACT OF LOWERED SPEED LIMITS IN URBAN AND METROPOLITAN AREAS , 2008 .

[18]  Liang-Tay Lin,et al.  Synchronized Signal Control Model for Maximizing Progression along an Arterial , 2010 .

[19]  Gabriel Gomes,et al.  Bandwidth Maximization Using Vehicle Arrival Functions , 2015, IEEE Transactions on Intelligent Transportation Systems.

[20]  H Tsay,et al.  New algorithm for solving the maximum progression bandwidth , 1988 .

[21]  Xianyu Wu,et al.  Link-Based Signalized Arterial Progression Optimization with Practical Travel Speed , 2013, J. Appl. Math..