Abstract:Connected vehicle technology, the Internet of Things, and other advanced communication technologies create possibilities to facilitate the movement of vehicles through transportation networks and reduce their travel time. Harmonizing the speed of vehicles in different network links not only yields a more efficient network capacity utilization, but also regulates the movement of vehicles to achieve a “smoother” flow of traffic. This study develops a mathematical nonlinear formulation for dynamic speed harmoniza… Show more
“…The authors introduced the concept of corridors to address the shape of lines in advance. The travel speed in the corridors can be obtained from the speed prediction model (see Tajalli & Hajbabaie, ; Yao et al., ). Laporte and Pascoal () proposed a path‐based algorithm for the metro network design with the objectives of maximizing the covered demand and minimizing the construction cost.…”
With the development of urbanization and the extension of city boundaries, the expansion of rapid transit systems based on the existing lines becomes an essential issue in urban transportation systems. In this study, the network expansion problem is formulated as a bi-objective programming model to minimize the construction cost and maximize the total travel demand covered by the newly introduced transit lines. To solve the bi-objective mixed-integer linear program, an approach called minimum distance to the utopia point is applied. Thus, the specific trade-off is suggested to the decision makers instead of a series of optimal solutions. A real-world case study based on the metro network in Wuxi, China, is conducted, and the results demonstrate the effectiveness and efficiency of the proposed model and solution method. It is found that the utopia method can not only provide a reasonable connecting pattern of the network expansion problem but also identify the corridors with high priority under the limited budget condition.
“…The authors introduced the concept of corridors to address the shape of lines in advance. The travel speed in the corridors can be obtained from the speed prediction model (see Tajalli & Hajbabaie, ; Yao et al., ). Laporte and Pascoal () proposed a path‐based algorithm for the metro network design with the objectives of maximizing the covered demand and minimizing the construction cost.…”
With the development of urbanization and the extension of city boundaries, the expansion of rapid transit systems based on the existing lines becomes an essential issue in urban transportation systems. In this study, the network expansion problem is formulated as a bi-objective programming model to minimize the construction cost and maximize the total travel demand covered by the newly introduced transit lines. To solve the bi-objective mixed-integer linear program, an approach called minimum distance to the utopia point is applied. Thus, the specific trade-off is suggested to the decision makers instead of a series of optimal solutions. A real-world case study based on the metro network in Wuxi, China, is conducted, and the results demonstrate the effectiveness and efficiency of the proposed model and solution method. It is found that the utopia method can not only provide a reasonable connecting pattern of the network expansion problem but also identify the corridors with high priority under the limited budget condition.
“…It is well known that speed limits have an impact on traffic fluidity, energy consumption and pollutant emissions [2]. Variable speed limits (VSL) systems can be designed for either urban [3], [4] or highway [5], [6], [7] environments. Some authors have used VSL for ecological purposes [7], [4], but VSL strategies usually largely ignore this aspect, and rather focus on resolving traffic breakdown, and improving safety and throughput [8].…”
The problem of improving traffic sustainability and traffic efficiency in an urban road network, by implementing variable speed limits (VSL), is addressed in this paper. A nonlinear model predictive control (NMPC) design based on a first-order macroscopic traffic flow model is proposed for the speed limits optimization in each segment of the road network. Simulation results show the effectiveness of the proposed control approach, compared to reference cases in which the speed limits are constantly set to 30 km/h or 50 km/h. In the particular case of congested traffic conditions, the controller is capable of reducing both energy consumption and travel time, without delaying users waiting at the network boundaries.
“…The modeling results quantify to what extent lane‐changing needs to be restricted to achieve larger capacities at freeways. Having better knowledge on capacity dependencies could be used for improved traffic management strategies (Hashemi & Abdelghany, ; Tajalli & Hajbabaie, ) and more accurate short‐term traffic predictions (Liu, Wang, & Zhu, ; Yao et al., ). For instance, such strategies could be applied at critical links of the freeway network, for instance at bridges or tunnels, which are typical bottlenecks whose physical expansion is extremely expensive.…”
This article presents a new stochastic computational model for determining freeway capacity reduction as a result of lane-changing activity. The probability density function for the maximum flow that can be sustained on a freeway for a given lanechanging level is obtained. The results can be used to support freeway management strategies aiming to mitigate the negative consequences of lane-changing in freeway capacity. A pilot test using empirical data obtained from the B-23 freeway accessing the city of Barcelona proves the validity of the modeling approach.
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