Dongping Li’s research while affiliated with Southeast University and other places

Trams in urban transport have seen rapid growth in recent years, yet poor coordination between it and other vehicles hinders the full achievement of its potential in the transport system. To cope with the current lack of study on green wave with respect to trams, a progression model is put forward in this paper based on the MAXBAND model and the multi-path progression model. The proposed model mainly addresses the specific scenario in the arterial green-wave design with tram: one tram travels along the artery in one direction while another in the opposite direction turns right at one of the arterial intersections. In this model, the goal of optimization is the bandwidth of general vehicles under the constraint of some expected bandwidth for tram green wave. Phase sequence at each intersection serves as a decision variable. The calculation of this model shows that it proffers satisfactory results and offers a feasible solution.

This paper proposes a variable-bandwidth approach to the arterial traffic signal optimization with priority of straight and left-turn trams based on MULTIBAND. First, the basic constraints for green waves of the trams and the general traffic are analyzed. The vital work is the establishment of constraints for the critical parameters at intersections when trams go straight and turn left. Second, according to difference of the traffic flow on each directional road section, the weight coefficients of bandwidth on each link of the arterial can be defined to general traffic bandwidth for general traffic. The maximum and minimum values of some decision variables are established to meet the demands of tram systems and general traffic. Then, mixed-integer nonlinear programming is employed for the optimization. Finally, a case study is presented to indicate that this approach can meet the demands of trams, while improving general traffic significantly.

The market share of public transport continues to decline as more and more flexible modes of travel appear. A public transportation service quality evaluation system advancing with the times is conducive to improving the attractiveness of public transportation. This paper presents the composition and characteristics of MaaS (mobility as a service), based on a study of MaaS development. With the goal of improving bus transit service quality, a bus service level evaluation system is established. The system will identify new criteria and indexes, apply Delphi and AHP to obtain weights of indexes, and establish a model of evaluation. Finally, this paper concludes with the advantages of the bus service quality evaluation system and future prospects.

Network traffic signal optimization makes the entire traffic condition of a city more efficient. This paper presents a relaxation-enabled band model designed to optimize the green wave of each arterial and coordinate two intersecting green-wave arterials. Because of the existence of outer loops, the feasible region of a traditional model may be narrow or even empty. To solve the problem, the proposed method permits the green wave of some road sections to be broken and optimize the signal coordination. The relaxation-enabled band model is formulated as a mixed-integer linear program, which can be solved by the branch and bound algorithm. A network instance has demonstrated that the relaxation-enabled band model can relax the feasible region and obtain the optimal solution of area signal optimization while the tradition model has no feasible solution. The proposed model is more suitable for coordinating signal timing in complex network environments than the existing model.