Transportation is one of the city's processes to achieve an efficient, livable and sustainable community aiming to improve the citizens' quality of life and the perception of smartness of a city. Each of us experiences unnecessary delays and expects improvement in mobility with the introduction of new technologies, specially in traffic signal control due to its big influence in urban traffic networks. One trend in modern vehicle technologies is that Connected Vehicles (CV) will communicate to the traffic infrastructure, so called V2I (Vehicle-to-Infrastructure), which may enable cities to provide better services through cooperation under limited infrastructure. Therefore, this paper proposes and evaluates three algorithms for traffic control using connected vehicles instead of stationary detectors: (i) a Dynamic Maximum Gap (DMG) between arrivals at stop line (specific for each vehicle), and (ii) the Throughput Adjusted Delay (TAD) accounting the relation between intersection throughput and delay, while (iii) the Throughput Adjusted Stopped Time (TAST) uses stopped time (waiting time) for such relation instead of delay. We demonstrate that our DMG algorithm at non-peak flows, compared to traditional actuated control, reduces the travel time up to 15%, waiting time (time spent with speed lower than 0.1 m/s) by almost 80%, and delay 50%. The TAD and TAST strategies maintain good performance even at 10% penetration rate of CV. Future research will contribute to the assessment of the environmental and economical benefits of traffic signal control using CVs, implementation on more realistic scenarios, as well as exploration of other information from CVs and application of advices sent from the infrastructure to vehicles.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic signal control for connected and non-connected vehicles


    Contributors:


    Publication date :

    2018-05-01


    Size :

    501441 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Signal Control with Connected Vehicles

    Goodall, Noah J. / Smith, Brian L. / Park, Byungkyu (Brian) | Transportation Research Record | 2013


    Traffic Signal Control with Connected Vehicles

    Goodall, Noah J | Online Contents | 2013



    Traffic Signal Timing Optimization in Connected Vehicles Environment

    Li, Wan / Ban, Xuegang | British Library Conference Proceedings | 2017


    Multi-Commodity Traffic Signal Control and Routing With Connected Vehicles

    De Souza, Felipe / Carlson, Rodrigo Castelan / Muller, Eduardo Rauh et al. | IEEE | 2022