Abstract
The left-turn of vehicles at intersections has significant impacts on urban traffic congestions and accidents, which have negative effect on vehicle emissions causing air pollution. Many urban traffic networks prohibit direct left-turns for transport planning to keep traffic moving efficiently on major roads. As such, this paper proposes a bi-level mathematical model for left-turn prohibition planning considering both travel times and traffic emissions. The lower-level and upper-level are respectively solved by using the Frank-Wolfe algorithm and an improved genetic algorithm. By numerical examples, this paper shows that the improved algorithm can effectively enhance the speed and accuracy of the calculation, and the traffic congestions and emissions can be alleviated by implementing the left-turn prohibition at some carefully selected intersections.
Highlights
With rapid urbanization, more private cars enter the limited urban traffic network, which enhance the traffic congestion and worsen the performance of road networks, so that travellers waste a lot of travel time on the road, causing environmental contamination, and leading to more traffic accidents [1].on crowded roads, frequent starting and braking make the exhaust gas density obviously higher than in other situations
This paper proposes a bi-level mathematical model for left-turn prohibition planning considering both travel times and traffic emissions
This paper shows that the improved algorithm can effectively enhance the speed and accuracy of the calculation, and the traffic congestions and emissions can be alleviated by implementing the left-turn prohibition at some carefully selected intersections
Summary
More private cars enter the limited urban traffic network, which enhance the traffic congestion and worsen the performance of road networks, so that travellers waste a lot of travel time on the road, causing environmental contamination, and leading to more traffic accidents [1]. How do drivers choose their travel paths under left-turn prohibitions? Will the additional travelling distance of drivers' other alternatives increase total traffic emissions? Where should left-turn prohibitions be implemented, if we were to optimize the traffic network system from the view of environmental protection? Times and total traffic emissions, and determine where to implement left-turn prohibition in the upper-level model using an improved genetic algorithm, such that the traffic network system is optimized. Using numerical examples it is shown that careful placement of left-turn prohibitions can alleviate the traffic congestion and emissions. In order to adapt our model to the reality, we have simplified the traffic network studied in this paper into a lattice network G(N, A) with two-way roads, where N and A are the sets of nodes and links, respectively, and a ∈ A. Before the formulation is discussed, this paragraph presents the network notations used throughout this
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