Dans cet article, nous présentons une analyse spatiotemporelle des tournées de livraison à domicile d’une entreprise d’électroménagers qui détient sa propre flotte de véhicules. Plusieurs millions d’observations de géolocalisation GPS issues de ces tournées de livraison sont collectées, traitées et assignées au réseau routier. À la suite de ces analyses spatiotemporelles, nous développons des calendriers quotidiens d’indices de congestion en fonction de l’heure. Des ratios de congestion sectoriels sont calculés afin de déterminer les meilleures heures de départ de livraison tout en évitant la congestion routière. La réduction de la durée des trajets a été quantifiée en comparant les meilleures heures de départs par rapport aux heures habituelles. À partir des données de notre partenaire, les analyses démontrent une réduction potentielle de 22 % de la durée des routes de livraison.
Signal priority is a strategy to handle traffic that adjusts the timing of a traffic signal phases to achieve a mobility goal, typically to reduce congestion or waiting time. This strategy enables increased mobility and is usually used in public transport operations; it works by making small modifications to the phases of a cycle in order to delay the green phase or anticipating the end of the red phase. We build a detailed simulation of the city center where an industrial partner operated and introduce signal priority handling to improve operations and mobility for their heavy-duty vehicles. The idea is that when these vehicles stop at red signs, they incur high consumption to regain speed, and cause congestion on the traffic behind them due to their lower acceleration. Detailed computational experiments demonstrate that this strategy generates significant gains for the partner fleet and has a side benefit of also improving fluidity for the surrounding traffic.
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