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The problem of optimally locating Automatic Vehicle Identification (AVI) sensors on a traffic network for travel time estimation has been a topic of growing interests in recent years. Even though great progresses have been made on AVI sensor deployment for path‐level travel time estimation, very few contributions exist in the literatures that address the AVI sensor deployment for link‐level travel time estimation on an urban network. In this paper, considering the link travel time estimation, two deployment sub‐problems are addressed: (1) where to deploy a certain number of AVI sensors? (2) What is a cost‐effective number of AVI sensors to deploy? To address the first problem, a potential game of sensors is developed to find their optimal locations which maximize the objective function that consists of estimation coverage and estimation accuracy. Then, based on the optimal locations, an incremental search method is proposed to find the optimal number of sensors considering the cost. The case in Shanghai shows the proposed game‐theoretic method is superior to other two heuristic algorithms. Moreover, compared to the real‐world sensor locations, the optimally redeployed locations improve both the estimation coverage and estimation accuracy. The case in Xuancheng City validates the proposed incremental search uses less computations to find an optimal number that close to the global optimal number solved from the brute‐force search. [ABSTRACT FROM AUTHOR]

Shore Side Electricity (SSE) can help reduce emissions in ports effectively. However, the adoption of SSE is hindered by a financial dilemma. This paper aims to propose a Stackelberg game theory model for optimizing the government subsidy scheme considering the interactions among the government, port and ships, in order to maximize the subsidy efficiency calculated by environmental benefit per unit monetary subsidy. The port of Shanghai is selected as the sample. Results show that within the optimized government subsidy structure, the subsidy on ships should be prioritized more than that on the port. Besides, the decision of the government's subsidy on ships is usually consistent with the trend of social welfare evolution. It also indicates that a busier port and ships with longer service time and higher berthing power are more worthwhile to subsidize. [ABSTRACT FROM AUTHOR]